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Oral
Wed Jul 20 10:15 AM -- 10:35 AM (PDT) @ Room 309
Tight and Robust Private Mean Estimation with Few Users
In SA: Trustworthy Machine Learning
Shyam Narayanan · Vahab Mirrokni · Hossein Esfandiari
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 309
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
In SA: Trustworthy Machine Learning
Liping Yi · Wang Gang · Liu Xiaoguang
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 309
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
In SA: Trustworthy Machine Learning
Tianyu Pang · Min Lin · Xiao Yang · Jun Zhu · Shuicheng Yan
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 309
Sanity Simulations for Saliency Methods
In SA: Trustworthy Machine Learning
Joon Kim · Gregory Plumb · Ameet Talwalkar
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 309
Out-of-Distribution Detection with Deep Nearest Neighbors
In SA: Trustworthy Machine Learning
Yiyou Sun · Yifei Ming · Jerry Zhu · Yixuan Li
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 309
Differentially Private Maximal Information Coefficients
In SA: Trustworthy Machine Learning
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran
Oral
Wed Jul 20 11:00 AM -- 11:20 AM (PDT) @ Room 309
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
In SA: Trustworthy Machine Learning
Gautam Kamath · Xingtu Liu · Huanyu Zhang
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 309
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
In SA: Trustworthy Machine Learning
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 309
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
In SA: Trustworthy Machine Learning
Xilie Xu · Jingfeng Zhang · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 309
Certified Adversarial Robustness Under the Bounded Support Set
In SA: Trustworthy Machine Learning
Yiwen Kou · Qinyuan Zheng · Yisen Wang
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 309
Predicting Out-of-Distribution Error with the Projection Norm
In SA: Trustworthy Machine Learning
Yaodong Yu · Zitong Yang · Alexander Wei · Yi Ma · Jacob Steinhardt
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 309
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
In SA: Trustworthy Machine Learning
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li