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10 Results
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Oral
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Mon 1:20 |
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang |
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Poster
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Mon 2:30 |
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang |
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Poster
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Tue 2:30 |
Revisiting Robustness in Graph Machine Learning Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann |
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Poster
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Wed 2:30 |
Finding Actual Descent Directions for Adversarial Training Fabian Latorre · Igor Krawczuk · Leello Dadi · Thomas Pethick · Volkan Cevher |
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Oral
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Wed 7:10 |
Inequality phenomenon in l∞-adversarial training, and its unrealized threats Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue' |
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Poster
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Wed 7:30 |
Inequality phenomenon in l∞-adversarial training, and its unrealized threats Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue' |
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Workshop
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Thu 4:00 |
Project with Source, Probe with Target: Extracting Useful Features for Adaptation to Distribution Shifts Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn |
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Poster
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Wed 2:30 |
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan |
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Oral
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Wed 2:10 |
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan |
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Poster
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Mon 7:30 |
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli · Anshul Hemant Nasery · Venkatesh Babu Radhakrishnan · Praneeth Netrapalli · Prateek Jain |