Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining
Authors: Łukasz Korycki, Bartosz Krawczyk | Published: 2020-09-20
敵対的攻撃検出
Robust Deep Learning Ensemble against Deception
Authors: Wenqi Wei, Ling Liu | Published: 2020-09-14
Adversary Agnostic Robust Deep Reinforcement Learning
Authors: Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun | Published: 2020-08-14 | Updated: 2020-12-24
Trace-Norm Adversarial Examples
Authors: Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang | Published: 2020-07-02
Defensive Approximation: Securing CNNs using Approximate Computing
Authors: Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh | Published: 2020-06-13 | Updated: 2021-07-29
Adversarial Self-Supervised Contrastive Learning
Authors: Minseon Kim, Jihoon Tack, Sung Ju Hwang | Published: 2020-06-13 | Updated: 2020-10-26
Provably Robust Metric Learning
Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
Robustness to Adversarial Attacks in Learning-Enabled Controllers
Authors: Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan | Published: 2020-06-11
Tricking Adversarial Attacks To Fail
Authors: Blerta Lindqvist | Published: 2020-06-08
On Universalized Adversarial and Invariant Perturbations
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08