Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Fri Jul 23 11:00 AM -- 11:20 AM (KST)
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
In Adversarial Learning 4
Jayaram Raghuram · Varun Chandrasekaran · Somesh Jha · Suman Banerjee
[ Paper ]
Spotlight
Fri Jul 23 11:20 AM -- 11:25 AM (KST)
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
Fri Jul 23 11:25 AM -- 11:30 AM (KST)
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
Fri Jul 23 11:30 AM -- 11:35 AM (KST)
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
Fri Jul 23 11:35 AM -- 11:40 AM (KST)
Improving Gradient Regularization using Complex-Valued Neural Networks
In Adversarial Learning 4
Eric Yeats · Yiran Chen · Hai Li
[ Paper ]
Spotlight
Fri Jul 23 11:40 AM -- 11:45 AM (KST)
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
Fri Jul 23 11:45 AM -- 11:50 AM (KST)
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
Fri Jul 23 11:50 AM -- 11:55 AM (KST)
Q&A
In Adversarial Learning 4