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Oral
Tue Jun 11th 11:00 -- 11:20 AM @ Grand Ballroom
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski · Stephan Günnemann
Oral
Tue Jun 11th 11:20 -- 11:25 AM @ Grand Ballroom
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
Carl-Johann Simon-Gabriel · Yann Ollivier · Leon Bottou · Bernhard Schölkopf · David Lopez-Paz
Oral
Tue Jun 11th 11:25 -- 11:30 AM @ Grand Ballroom
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu · Ryota Tomioka · Volkan Cevher
Oral
Tue Jun 11th 11:30 -- 11:35 AM @ Grand Ballroom
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang · Kun Xu · Chao Du · Ning Chen · Jun Zhu
Oral
Tue Jun 11th 11:35 -- 11:40 AM @ Grand Ballroom
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li · Frank Schmidt · Zico Kolter
Oral
Tue Jun 11th 11:40 AM -- 12:00 PM @ Grand Ballroom
Adversarial examples from computational constraints
Sebastien Bubeck · Yin Tat Lee · Eric Price · Ilya Razenshteyn
Oral
Tue Jun 11th 12:00 -- 12:05 PM @ Grand Ballroom
POPQORN: Quantifying Robustness of Recurrent Neural Networks
CHING-YUN KO · Zhaoyang Lyu · Tsui-Wei Weng · Luca Daniel · Ngai Wong · Dahua Lin
Oral
Tue Jun 11th 12:05 -- 12:10 PM @ Grand Ballroom
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks · Kimin Lee · Mantas Mazeika
Oral
Tue Jun 11th 12:10 -- 12:15 PM @ Grand Ballroom
Generalized No Free Lunch Theorem for Adversarial Robustness
Elvis Dohmatob
Oral
Tue Jun 11th 12:15 -- 12:20 PM @ Grand Ballroom
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng · Pin-Yu Chen · Lam Nguyen · Mark Squillante · Akhilan Boopathy · Ivan Oseledets · Luca Daniel