Workshop
Trustworthy and Socially Responsible Machine Learning
Huan Zhang · Linyi Li · Chaowei Xiao · J. Zico Kolter · Anima Anandkumar · Bo Li
Virtual
Fri 9 Dec, 6:45 a.m. PST
To address these negative societal impacts of ML, researchers have looked into different principles and constraints to ensure trustworthy and socially responsible machine learning systems. This workshop makes the first attempt towards bridging the gap between security, privacy, fairness, ethics, game theory, and machine learning communities and aims to discuss the principles and experiences of developing trustworthy and socially responsible machine learning systems. The workshop also focuses on how future researchers and practitioners should prepare themselves for reducing the risks of unintended behaviors of sophisticated ML models.
This workshop aims to bring together researchers interested in the emerging and interdisciplinary field of trustworthy and socially responsible machine learning from a broad range of disciplines with different perspectives to this problem. We attempt to highlight recent related work from different communities, clarify the foundations of trustworthy machine learning, and chart out important directions for future work and cross-community collaborations.
Schedule
Fri 6:45 a.m. - 7:00 a.m.
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Introduction and Opening Remarks
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Opening
)
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SlidesLive Video |
Huan Zhang · Linyi Li 🔗 |
Fri 7:00 a.m. - 7:30 a.m.
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Invited Talk: Aleksander Mądry
(
Invited Talk
)
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SlidesLive Video |
Aleksander Madry 🔗 |
Fri 7:30 a.m. - 7:45 a.m.
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Contributed Talk: Revisiting Robustness in Graph Machine Learning
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Contributed Talk
)
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SlidesLive Video |
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann 🔗 |
Fri 7:45 a.m. - 8:00 a.m.
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Contributed Talk: Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning
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Contributed Talk
)
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SlidesLive Video |
Xiangyu Liu · Souradip Chakraborty · Furong Huang 🔗 |
Fri 8:00 a.m. - 8:30 a.m.
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Invited Talk: Milind Tambe
(
Invited Talk
)
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SlidesLive Video |
Milind Tambe 🔗 |
Fri 8:30 a.m. - 8:40 a.m.
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Coffee Break I
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🔗 |
Fri 8:40 a.m. - 9:30 a.m.
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Morning Poster Session
(
Poster Session
)
>
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🔗 |
Fri 9:30 a.m. - 10:00 a.m.
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Invited Talk: Nika Haghtalab
(
Invited Talk
)
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SlidesLive Video |
Nika Haghtalab 🔗 |
Fri 10:00 a.m. - 10:30 a.m.
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Invited Talk: Kamalika Chaudhuri
(
Invited Talk
)
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SlidesLive Video |
Kamalika Chaudhuri 🔗 |
Fri 10:30 a.m. - 11:00 a.m.
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Invited Talk: Been Kim
(
Invited Talk
)
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SlidesLive Video |
Been Kim 🔗 |
Fri 11:00 a.m. - 12:00 p.m.
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Lunch Break
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🔗 |
Fri 12:00 p.m. - 12:30 p.m.
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Invited Talk: Yi Ma
(
Invited Talk
)
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SlidesLive Video |
Yi Ma 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Invited Talk: Dorsa Sadigh
(
Invited Talk
)
>
SlidesLive Video |
Dorsa Sadigh 🔗 |
Fri 1:00 p.m. - 1:30 p.m.
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Invited Talk: Marco Pavone
(
Invited Talk
)
>
SlidesLive Video |
Marco Pavone 🔗 |
Fri 1:30 p.m. - 1:40 p.m.
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Contributed Talk: DensePure: Understanding Diffusion Models towards Adversarial Robustness
(
Contributed Talk
)
>
SlidesLive Video |
Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song 🔗 |
Fri 1:40 p.m. - 2:30 p.m.
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Afternoon Poster Session
(
Poster Session
)
>
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🔗 |
Fri 2:45 p.m. - 3:00 p.m.
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Contributed Talk: Differentially Private Bias-Term only Fine-tuning of Foundation Models
(
Contributed Talk
)
>
SlidesLive Video |
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis 🔗 |
Fri 2:45 p.m. - 3:00 p.m.
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Contributed Talk: TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
(
Contributed Talk
)
>
SlidesLive Video |
Dylan Slack · Satyapriya Krishna · Himabindu Lakkaraju · Sameer Singh 🔗 |
Fri 3:00 p.m. - 3:15 p.m.
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Contributed Talk: zPROBE: Zero Peek Robustness Checks for Federated Learning
(
Contributed Talk
)
>
SlidesLive Video |
Zahra Ghodsi · Mojan Javaheripi · Nojan Sheybani · Xinqiao Zhang · Ke Huang · Farinaz Koushanfar 🔗 |
Fri 3:15 p.m. - 4:00 p.m.
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Panel Discussion
(
Panel Discussion
)
>
SlidesLive Video |
Kamalika Chaudhuri · Been Kim · Dorsa Sadigh · Huan Zhang · Linyi Li 🔗 |
Fri 4:00 p.m. - 4:15 p.m.
|
Closing Remarks
(
Closing
)
>
|
Huan Zhang · Linyi Li 🔗 |
-
|
Improving Fairness in Image Classification via Sketching
(
Poster
)
>
link
SlidesLive Video |
Ruichen Yao · cui ziteng · Xiaoxiao Li · Lin Gu 🔗 |
-
|
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
(
Poster
)
>
link
SlidesLive Video |
Raksha Ramakrishna · György Dán 🔗 |
-
|
Case Study: Applying Decision Focused Learning in the Real World
(
Poster
)
>
link
SlidesLive Video |
Shresth Verma · Aditya Mate · Kai Wang · Aparna Taneja · Milind Tambe 🔗 |
-
|
Assessing Performance and Fairness Metrics in Face Recognition - Bootstrap Methods
(
Poster
)
>
link
SlidesLive Video |
Jean-Rémy Conti · Stéphan Clémençon 🔗 |
-
|
Generating Intuitive Fairness Specifications for Natural Language Processing
(
Poster
)
>
link
SlidesLive Video |
Florian E. Dorner · Momchil Peychev · Nikola Konstantinov · Naman Goel · Elliott Ash · Martin Vechev 🔗 |
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|
Learning from uncertain concepts via test time interventions
(
Poster
)
>
link
SlidesLive Video |
Ivaxi Sheth · Aamer Abdul Rahman · Laya Rafiee Sevyeri · Mohammad Havaei · Samira Ebrahimi Kahou 🔗 |
-
|
Towards Reasoning-Aware Explainable VQA
(
Poster
)
>
link
SlidesLive Video |
Rakesh Vaideeswaran · Feng Gao · ABHINAV MATHUR · Govindarajan Thattai 🔗 |
-
|
Beyond Protected Attributes: Disciplined Detection of Systematic Deviations in Data
(
Poster
)
>
link
SlidesLive Video |
Adebayo Oshingbesan · Winslow Omondi · Girmaw Abebe Tadesse · Celia Cintas · Skyler D. Speakman 🔗 |
-
|
A Stochastic Optimization Framework for Fair Risk Minimization
(
Poster
)
>
link
SlidesLive Video |
Andrew Lowy · Sina Baharlouei · Rakesh Pavan · Meisam Razaviyayn · Ahmad Beirami 🔗 |
-
|
On the Trade-Off between Actionable Explanations and the Right to be Forgotten ( Poster ) > link | Martin Pawelczyk · Tobias Leemann · Asia Biega · Gjergji Kasneci 🔗 |
-
|
But Are You Sure? Quantifying Uncertainty in Model Explanations ( Poster ) > link | Charles Marx · Youngsuk Park · Hilaf Hasson · Yuyang (Bernie) Wang · Stefano Ermon · Chaitanya Baru 🔗 |
-
|
Fairness-aware Missing Data Imputation
(
Poster
)
>
link
SlidesLive Video |
Yiliang Zhang · Qi Long 🔗 |
-
|
Socially Responsible Reasoning with Large Language Models and The Impact of Proper Nouns
(
Poster
)
>
link
SlidesLive Video |
Sumit Jha · Rickard Ewetz · Alvaro Velasquez · Susmit Jha 🔗 |
-
|
When Personalization Harms: Reconsidering the Use of Group Attributes of Prediction ( Poster ) > link | Vinith Suriyakumar · Marzyeh Ghassemi · Berk Ustun 🔗 |
-
|
An Analysis of Social Biases Present in BERT Variants Across Multiple Languages
(
Poster
)
>
link
SlidesLive Video |
Parishad BehnamGhader · Aristides Milios 🔗 |
-
|
Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers
(
Poster
)
>
link
SlidesLive Video |
Fatemeh Sheikholeslami · Wan-Yi Lin · Jan Hendrik Metzen · Huan Zhang · J. Zico Kolter 🔗 |
-
|
On the Robustness of deep learning-based MRI Reconstruction to image transformations ( Poster ) > link | jinghan jia · Mingyi Hong · Yimeng Zhang · Mehmet Akcakaya · Sijia Liu 🔗 |
-
|
Real world relevance of generative counterfactual explanations ( Poster ) > link | Swami Sankaranarayanan · Thomas Hartvigsen · Lauren Oakden-Rayner · Marzyeh Ghassemi · Phillip Isola 🔗 |
-
|
Quantifying Social Biases Using Templates is Unreliable
(
Poster
)
>
link
SlidesLive Video |
Preethi Seshadri · Pouya Pezeshkpour · Sameer Singh 🔗 |
-
|
DensePure: Understanding Diffusion Models towards Adversarial Robustness ( Poster ) > link | Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song 🔗 |
-
|
A Fair Loss Function for Network Pruning
(
Poster
)
>
link
SlidesLive Video |
Robbie Meyer · Alexander Wong 🔗 |
-
|
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
(
Poster
)
>
link
SlidesLive Video |
Nathalie Baracaldo · Kevin Eykholt · Farhan Ahmed · Yi Zhou · Shriti Priya · Taesung Lee · Swanand Kadhe · Yusong Tan · Sridevi Polavaram · Sterling Suggs 🔗 |
-
|
Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
(
Poster
)
>
link
SlidesLive Video |
Hanieh Hashemi · Wenjie Xiong · Liu Ke · Kiwan Maeng · Murali Annavaram · G. Edward Suh · Hsien-Hsin Lee 🔗 |
-
|
A Brief Overview of AI Governance for Responsible Machine Learning Systems
(
Poster
)
>
link
SlidesLive Video |
Navdeep Gill · Marcos Conde 🔗 |
-
|
Forgetting Data from Pre-trained GANs
(
Poster
)
>
link
SlidesLive Video |
Zhifeng Kong · Kamalika Chaudhuri 🔗 |
-
|
Training Differentially Private Graph Neural Networks with Random Walk Sampling
(
Poster
)
>
link
SlidesLive Video |
Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann 🔗 |
-
|
Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces
(
Poster
)
>
link
SlidesLive Video |
Xiaying Wang · Rodolfo Octavio Siller Quintanilla · Michael Hersche · Luca Benini · Gagandeep Singh 🔗 |
-
|
Striving for data-model efficiency: Identifying data externalities on group performance
(
Poster
)
>
link
SlidesLive Video |
Esther Rolf · Ben Packer · Alex Beutel · Fernando Diaz 🔗 |
-
|
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
(
Poster
)
>
link
SlidesLive Video |
Sungbin Shin · Yohan Jo · Sungsoo Ahn · Namhoon Lee 🔗 |
-
|
Revisiting Robustness in Graph Machine Learning
(
Poster
)
>
link
SlidesLive Video |
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann 🔗 |
-
|
Cooperation or Competition: Avoiding Player Domination for Multi-target Robustness by Adaptive Budgets
(
Poster
)
>
link
SlidesLive Video |
Yimu Wang · Dinghuai Zhang · Yihan Wu · Heng Huang · Hongyang Zhang 🔗 |
-
|
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
(
Poster
)
>
link
SlidesLive Video |
Paiheng Xu · Yuhang Zhou · Bang An · Wei Ai · Furong Huang 🔗 |
-
|
Uncertainty-aware predictive modeling for fair data-driven decisions
(
Poster
)
>
link
SlidesLive Video |
Patrick Kaiser · Christoph Kern · David Rügamer 🔗 |
-
|
Information-Theoretic Evaluation of Free-Text Rationales with Conditional $\mathcal{V}$-Information
(
Poster
)
>
link
SlidesLive Video |
Hanjie Chen · Faeze Brahman · Xiang Ren · Yangfeng Ji · Yejin Choi · Swabha Swayamdipta 🔗 |
-
|
Few-shot Backdoor Attacks via Neural Tangent Kernels ( Poster ) > link | Jonathan Hayase · Sewoong Oh 🔗 |
-
|
Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning
(
Poster
)
>
link
SlidesLive Video |
Xiangyu Liu · Souradip Chakraborty · Furong Huang 🔗 |
-
|
Interactive Rationale Extraction for Text Classification
(
Poster
)
>
link
SlidesLive Video |
Jiayi Dai · Mi-Young Kim · Randolph Goebel 🔗 |
-
|
Just Avoid Robust Inaccuracy: Boosting Robustness Without Sacrificing Accuracy
(
Poster
)
>
link
SlidesLive Video |
Yannick Merkli · Pavol Bielik · Petar Tsankov · Martin Vechev 🔗 |
-
|
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
(
Poster
)
>
link
SlidesLive Video |
Jacob Eisenstein · Daniel Andor · Bernd Bohnet · Michael Collins · David Mimno 🔗 |
-
|
FL-Talk: Covert Communication in Federated Learning via Spectral Steganography
(
Poster
)
>
link
SlidesLive Video |
Huili Chen · Farinaz Koushanfar 🔗 |
-
|
Accelerating Open Science for AI in Heliophysics
(
Poster
)
>
link
SlidesLive Video |
Dolores Garcia · Paul Wright · Mark Cheung · Meng Jin · James Parr 🔗 |
-
|
A Theory of Learning with Competing Objectives and User Feedback
(
Poster
)
>
link
SlidesLive Video |
Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri 🔗 |
-
|
zPROBE: Zero Peek Robustness Checks for Federated Learning
(
Poster
)
>
link
SlidesLive Video |
Zahra Ghodsi · Mojan Javaheripi · Nojan Sheybani · Xinqiao Zhang · Ke Huang · Farinaz Koushanfar 🔗 |
-
|
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales ( Poster ) > link | Peifeng Wang · Aaron Chan · Filip Ilievski · Muhao Chen · Xiang Ren 🔗 |
-
|
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks ( Poster ) > link | Jimmy Di · Jack Douglas · Jayadev Acharya · Gautam Kamath · Ayush Sekhari 🔗 |
-
|
Individual Privacy Accounting with Gaussian Differential Privacy
(
Poster
)
>
link
SlidesLive Video |
Antti Koskela · Marlon Tobaben · Antti Honkela 🔗 |
-
|
Distributed Differential Privacy in Multi-Armed Bandits
(
Poster
)
>
link
SlidesLive Video |
Sayak Ray Chowdhury · Xingyu Zhou 🔗 |
-
|
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal
(
Poster
)
>
link
SlidesLive Video |
Laura State · Hadrien Salat · Stefania Rubrichi · Zbigniew Smoreda 🔗 |
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|
Learning to Take a Break: Sustainable Optimization of Long-Term User Engagement
(
Poster
)
>
link
SlidesLive Video |
Eden Saig · Nir Rosenfeld 🔗 |
-
|
Addressing Bias in Face Detectors using Decentralised Data collection with incentives
(
Poster
)
>
link
SlidesLive Video |
Ahan M R · Robin Lehmann · Richard Blythman 🔗 |
-
|
Strategy-Aware Contextual Bandits ( Poster ) > link | Keegan Harris · Chara Podimata · Steven Wu 🔗 |
-
|
Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD
(
Poster
)
>
link
SlidesLive Video |
Arjun Subramonian · Levent Sagun · Kai-Wei Chang · Yizhou Sun 🔗 |
-
|
Certified Training: Small Boxes are All You Need
(
Poster
)
>
link
SlidesLive Video |
Mark Müller · Franziska Eckert · Marc Fischer · Martin Vechev 🔗 |
-
|
Evaluating the Practicality of Counterfactual Explanation
(
Poster
)
>
link
SlidesLive Video |
Nina Spreitzer · Hinda Haned · Ilse van der Linden 🔗 |
-
|
A Deep Dive into Dataset Imbalance and Bias in Face Identification
(
Poster
)
>
link
SlidesLive Video |
Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein 🔗 |
-
|
Differentially Private Gradient Boosting on Linear Learners for Tabular Data
(
Poster
)
>
link
SlidesLive Video |
Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau 🔗 |
-
|
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
(
Poster
)
>
link
SlidesLive Video |
Dylan Slack · Satyapriya Krishna · Himabindu Lakkaraju · Sameer Singh 🔗 |
-
|
Participatory Systems for Personalized Prediction
(
Poster
)
>
link
SlidesLive Video |
Hailey James · Chirag Nagpal · Katherine Heller · Berk Ustun 🔗 |
-
|
On the Impact of Adversarially Robust Models on Algorithmic Recourse ( Poster ) > link | Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju 🔗 |
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|
What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML
(
Poster
)
>
link
SlidesLive Video |
Zixi Chen · Varshini Subhash · Marton Havasi · Weiwei Pan · Finale Doshi-Velez 🔗 |
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|
REGLO: Provable Neural Network Repair for Global Robustness Properties
(
Poster
)
>
link
SlidesLive Video |
Feisi Fu · Zhilu Wang · Jiameng Fan · Yixuan Wang · Chao Huang · Xin Chen · Qi Zhu · Wenchao Li 🔗 |
-
|
A View From Somewhere: Human-Centric Face Representations ( Poster ) > link | Jerone Andrews · Przemyslaw Joniak · Alice Xiang 🔗 |
-
|
On Causal Rationalization
(
Poster
)
>
link
SlidesLive Video |
Wenbo Zhang · TONG WU · Yunlong Wang · Yong Cai · Hengrui Cai 🔗 |
-
|
Poisoning Generative Models to Promote Catastrophic Forgetting
(
Poster
)
>
link
SlidesLive Video |
Siteng Kang · Xinhua Zhang 🔗 |
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|
On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition
(
Poster
)
>
link
SlidesLive Video |
Samuel Dooley · Rhea Sukthanker · John Dickerson · Colin White · Frank Hutter · Micah Goldblum 🔗 |
-
|
Finding Safe Zones of Markov Decision Processes Policies
(
Poster
)
>
link
SlidesLive Video |
Michal Moshkovitz · Lee Cohen · Yishay Mansour 🔗 |
-
|
Indiscriminate Data Poisoning Attacks on Neural Networks
(
Poster
)
>
link
SlidesLive Video |
Yiwei Lu · Gautam Kamath · Yaoliang Yu 🔗 |
-
|
Hybrid-EDL: Improving Evidential Deep Learning for Uncertainty Quantification on Imbalanced Data
(
Poster
)
>
link
SlidesLive Video |
Tong Xia · Jing Han · Lorena Qendro · Ting Dang · Cecilia Mascolo 🔗 |
-
|
Bias Amplification in Image Classification
(
Poster
)
>
link
SlidesLive Video |
Melissa Hall · Laurens van der Maaten · Laura Gustafson · Maxwell Jones · Aaron Adcock 🔗 |
-
|
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
(
Poster
)
>
link
SlidesLive Video |
Maksym Yatsura · Kaspar Sakmann · N. Grace Hua · Matthias Hein · Jan Hendrik Metzen 🔗 |
-
|
Cold Posteriors through PAC-Bayes
(
Poster
)
>
link
SlidesLive Video |
Konstantinos Pitas · Julyan Arbel 🔗 |
-
|
Men Also Do Laundry: Multi-Attribute Bias Amplification
(
Poster
)
>
link
SlidesLive Video |
Dora Zhao · Jerone Andrews · Alice Xiang 🔗 |
-
|
Anonymization for Skeleton Action Recognition
(
Poster
)
>
link
SlidesLive Video |
Saemi Moon · Myeonghyeon Kim · Zhenyue Qin · Yang Liu · Dongwoo Kim 🔗 |
-
|
Provable Re-Identification Privacy
(
Poster
)
>
link
SlidesLive Video |
Zachary Izzo · Jinsung Yoon · Sercan Arik · James Zou 🔗 |
-
|
Attack-Agnostic Adversarial Detection
(
Poster
)
>
link
SlidesLive Video |
Jiaxin Cheng · Mohamed Hussein · Jayadev Billa · Wael Abd-Almageed 🔗 |
-
|
Is the Next Winter Coming for AI?The Elements of Making Secure and Robust AI
(
Poster
)
>
link
SlidesLive Video |
Josh Harguess 🔗 |
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|
Visual Prompting for Adversarial Robustness ( Poster ) > link | Aochuan Chen · Peter Lorenz · Yuguang Yao · Pin-Yu Chen · Sijia Liu 🔗 |
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|
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
(
Poster
)
>
link
SlidesLive Video |
Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu 🔗 |
-
|
Differentially Private Bias-Term only Fine-tuning of Foundation Models
(
Poster
)
>
link
SlidesLive Video |
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis 🔗 |
-
|
On the Feasibility of Compressing Certifiably Robust Neural Networks
(
Poster
)
>
link
SlidesLive Video |
Pratik Vaishnavi · Veena Krish · Farhan Ahmed · Kevin Eykholt · Amir Rahmati 🔗 |
-
|
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data ( Poster ) > link | Hossein Aboutalebi · Maya Pavlova · Mohammad Javad Shafiee · Adrian Florea · Andrew Hryniowski · Alexander Wong 🔗 |
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|
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
(
Poster
)
>
link
SlidesLive Video |
Cheryl Flynn · Aritra Guha · Subhabrata Majumdar · Divesh Srivastava · Zhengyi Zhou 🔗 |
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|
Just Following AI Orders: When Unbiased People Are Influenced By Biased AI ( Poster ) > link | Hammaad Adam · Aparna Balagopalan · Emily Alsentzer · Fotini Christia · Marzyeh Ghassemi 🔗 |
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Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge
(
Poster
)
>
link
SlidesLive Video |
ZIYUN LI · Xinshao Wang · Christoph Meinel · Neil Robertson · David Clifton · Haojin Yang 🔗 |
-
|
Scalable and Improved Algorithms for Individually Fair Clustering ( Poster ) > link | Mohammadhossein Bateni · Vincent Cohen-Addad · Alessandro Epasto · Silvio Lattanzi 🔗 |
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|
Membership Inference Attacks via Adversarial Examples
(
Poster
)
>
link
SlidesLive Video |
Hamid Jalalzai · Elie Kadoche · Rémi Leluc · Vincent Plassier 🔗 |
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|
Take 5: Interpretable Image Classification with a Handful of Features
(
Poster
)
>
link
SlidesLive Video |
Thomas Norrenbrock · Marco Rudolph · Bodo Rosenhahn 🔗 |