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80 Results
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Poster
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Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou · Jianing Zhu · Jingfeng ZHANG · Tongliang Liu · Gang Niu · Bo Han · Masashi Sugiyama |
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Poster
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HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks Aibek Alanov · Vadim Titov · Dmitry Vetrov |
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Poster
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Tue 14:00 |
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen |
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Poster
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Tue 9:00 |
On the Complexity of Adversarial Decision Making Dylan J Foster · Alexander Rakhlin · Ayush Sekhari · Karthik Sridharan |
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Workshop
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Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao |
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Poster
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Wed 14:00 |
Robust Models are less Over-Confident Julia Grabinski · Paul Gavrikov · Janis Keuper · Margret Keuper |
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Poster
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Wed 9:00 |
CoPur: Certifiably Robust Collaborative Inference via Feature Purification Jing Liu · Chulin Xie · Sanmi Koyejo · Bo Li |
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Poster
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Wed 9:00 |
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Djordje Miladinovic · Kumar Shridhar · Kushal Jain · Max Paulus · Joachim M Buhmann · Carl Allen |
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Workshop
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Measuring Robustness with Black-Box Adversarial Attack using Reinforcement Learning Soumyendu Sarkar · Sajad Mousavi · Ashwin Ramesh Babu · Vineet Gundecha · Sahand Ghorbanpour · Alexander Shmakov |
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Poster
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On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks Anish Chakrabarty · Swagatam Das |
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Poster
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Tue 14:00 |
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 |
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor · Luca Demetrio · Angelo Sotgiu · Ambra Demontis · Nicholas Carlini · Battista Biggio · Fabio Roli |