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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
In Adversarial Learning 4
Jayaram Raghuram · Varun Chandrasekaran · Somesh Jha · Suman Banerjee
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Towards Defending against Adversarial Examples via Attack-Invariant Features
In Adversarial Learning 4
Dawei Zhou · Tongliang Liu · Bo Han · Nannan Wang · Chunlei Peng · Xinbo Gao
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
In Adversarial Learning 4
Bohang Zhang · Tianle Cai · Zhou Lu · Di He · Liwei Wang
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
In Adversarial Learning 4
Kaizhao Liang · Yibo Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Improving Gradient Regularization using Complex-Valued Neural Networks
In Adversarial Learning 4
Eric Yeats · Yiran Chen · Hai Li
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
In Adversarial Learning 4
Yonggan Fu · Qixuan Yu · Meng Li · Vikas Chandra · Yingyan Lin
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
In Adversarial Learning 4
Jiawei Zhang · Linyi Li · Huichen Li · Xiaolu Zhang · Shuang Yang · Bo Li
[ Paper ]
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Adversarial Learning 4