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Poster
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Thu 14:00
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Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu · Saman Motamed · Shaunak Srivastava · Fernando D De la Torre
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Poster
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Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao · Lei Feng · Hongxin Wei · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
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Poster
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Tue 9:00
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Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Aritra Mitra · Arman Adibi · George J. Pappas · Hamed Hassani
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Poster
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Thu 9:00
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Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri · Kiarash Banihashem · Soheil Feizi
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Poster
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Tue 9:00
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Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong · Liyuan Liu · Jingbo Shang
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Poster
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Tue 14:00
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Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
Andrew Cullen · Paul Montague · Shijie Liu · Sarah Erfani · Benjamin Rubinstein
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Poster
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RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Rui Yang · Chenjia Bai · Xiaoteng Ma · Zhaoran Wang · Chongjie Zhang · Lei Han
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Poster
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Tue 14:00
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What You See is What You Get: Principled Deep Learning via Distributional Generalization
Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jarosław Błasiok · Preetum Nakkiran
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Poster
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Tue 9:00
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Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng · Tianfu Wu · Christopher Healey
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Poster
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Tue 9:00
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Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
Yongri Piao · Chenyang Lu · Miao Zhang · Huchuan Lu
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Poster
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Tue 9:00
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ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian · Kun Kuang · Kelu Jiang · Furui Liu · Zhihua Wang · Fei Wu
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Panel
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Tue 10:45
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Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Aravind Gollakota · Omar Montasser
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