It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Authors: Peiyu Xiong, Michael Tegegn, Jaskeerat Singh Sarin, Shubhraneel Pal, Julia Rubin | Published: 2023-03-17 | Updated: 2023-10-17
Model Performance Evaluation
Automated Machine Learning for Deep Learning based Malware Detection
Authors: Austin Brown, Maanak Gupta, Mahmoud Abdelsalam | Published: 2023-03-03 | Updated: 2023-11-03
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights
Authors: Jay Jacobs, Sasha Romanosky, Octavian Suciu, Benjamin Edwards, Armin Sarabi | Published: 2023-02-27 | Updated: 2023-06-15
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
Authors: Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu | Published: 2023-02-23
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Authors: Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal | Published: 2023-02-21 | Updated: 2023-07-20
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Authors: Pratik Karmakar, Debabrota Basu | Published: 2023-02-16 | Updated: 2023-10-18
Continuous Learning for Android Malware Detection
Authors: Yizheng Chen, Zhoujie Ding, David Wagner | Published: 2023-02-08 | Updated: 2023-06-14
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Authors: Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas | Published: 2023-02-03 | Updated: 2023-10-14