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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 09:00 AM -- 09:20 AM (KST)
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
In Adversarial Learning 3
Mingkang Zhu · Tianlong Chen · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Fri Jul 23 09:20 AM -- 09:25 AM (KST)
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
In Adversarial Learning 3
Ruize Gao · Feng Liu · Jingfeng Zhang · Bo Han · Tongliang Liu · Gang Niu · Masashi Sugiyama
[ Paper ]
Spotlight
Fri Jul 23 09:25 AM -- 09:30 AM (KST)
Learning Diverse-Structured Networks for Adversarial Robustness
In Adversarial Learning 3
Xuefeng Du · Jingfeng Zhang · Bo Han · Tongliang Liu · Yu Rong · Gang Niu · Junzhou Huang · Masashi Sugiyama
[ Paper ]
Spotlight
Fri Jul 23 09:30 AM -- 09:35 AM (KST)
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
In Adversarial Learning 3
Carl-Johann Simon-Gabriel · Noman Ahmed Sheikh · Andreas Krause
[ Paper ]
Spotlight
Fri Jul 23 09:35 AM -- 09:40 AM (KST)
Towards Better Robust Generalization with Shift Consistency Regularization
In Adversarial Learning 3
Shufei Zhang · Zhuang Qian · Kaizhu Huang · Qiufeng Wang · Rui Zhang · Xinping Yi
[ Paper ]
Spotlight
Fri Jul 23 09:40 AM -- 09:45 AM (KST)
Robust Learning for Data Poisoning Attacks
In Adversarial Learning 3
Yunjuan Wang · Poorya Mianjy · Raman Arora
[ Paper ]
Spotlight
Fri Jul 23 09:45 AM -- 09:50 AM (KST)
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
In Adversarial Learning 3
Francesco Croce · Matthias Hein
[ Paper ]
Q&A
Fri Jul 23 09:50 AM -- 09:55 AM (KST)
Q&A
In Adversarial Learning 3