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Workshop
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Sat 9:05
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Adversarial Examples in Random Deep Networks
Peter Bartlett
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Workshop
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Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang · Yinpeng Dong · Tianyu Pang
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Workshop
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Exact and Efficient Adversarial Robustness with Decomposable Neural Networks
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Spotlight
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Thu 6:35
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Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Ozan Özdenizci · Robert Legenstein
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Poster
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Thu 9:00
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Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Ozan Özdenizci · Robert Legenstein
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Workshop
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Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model
· Ruoxi Qin
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Workshop
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Automating Power Networks: Improving RL Agent Robustness with Adversarial Training
Alexander Pan · Yongkyun Lee · Huan Zhang
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Poster
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Tue 21:00
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Bayesian Optimization over Hybrid Spaces
Aryan Deshwal · Syrine Belakaria · Jana Doppa
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Spotlight
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Tue 19:25
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Bayesian Optimization over Hybrid Spaces
Aryan Deshwal · Syrine Belakaria · Jana Doppa
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Spotlight
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Thu 5:20
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Adversarial Robustness Guarantees for Random Deep Neural Networks
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
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Poster
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Tue 21:00
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Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
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Spotlight
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Tue 17:25
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Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
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