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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 11:00 PM -- 11:20 PM (KST)
CARTL: Cooperative Adversarially-Robust Transfer Learning
In Adversarial Learning 2
Dian Chen · Hongxin Hu · Qian Wang · Li Yinli · Cong Wang · Chao Shen · Qi Li
[ Paper ]
Spotlight
Thu Jul 22 11:20 PM -- 11:25 PM (KST)
Skew Orthogonal Convolutions
In Adversarial Learning 2
Sahil Singla · Soheil Feizi
[ Paper ]
Spotlight
Thu Jul 22 11:25 PM -- 11:30 PM (KST)
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
In Adversarial Learning 2
Arjun Nitin Bhagoji · Daniel Cullina · Vikash Sehwag · Prateek Mittal
[ Paper ]
Spotlight
Thu Jul 22 11:30 PM -- 11:35 PM (KST)
Defense against backdoor attacks via robust covariance estimation
In Adversarial Learning 2
Jonathan Hayase · Weihao Kong · Raghav Somani · Sewoong Oh
[ Paper ]
Spotlight
Thu Jul 22 11:35 PM -- 11:40 PM (KST)
Adversarial Purification with Score-based Generative Models
In Adversarial Learning 2
Jongmin Yoon · Sung Ju Hwang · Juho Lee
[ Paper ]
Spotlight
Thu Jul 22 11:40 PM -- 11:45 PM (KST)
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
In Adversarial Learning 2
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 11:45 PM -- 11:50 PM (KST)
To be Robust or to be Fair: Towards Fairness in Adversarial Training
In Adversarial Learning 2
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
[ Paper ]
Q&A
Thu Jul 22 11:50 PM -- 11:55 PM (KST)
Q&A
In Adversarial Learning 2