Attack Agnostic Statistical Method for Adversarial Detection
Authors: Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas Kruthiventi, Harikrishna Muralidhara | Published: 2019-11-22
敵対的攻撃
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Authors: Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei | Published: 2019-11-10 | Updated: 2020-10-29
Imperceptible Adversarial Attacks on Tabular Data
Authors: Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki | Published: 2019-11-08 | Updated: 2019-12-13
Hidden Trigger Backdoor Attacks
Authors: Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash | Published: 2019-09-30 | Updated: 2019-12-21
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2019-09-27 | Updated: 2020-07-06
Lower Bounds on Adversarial Robustness from Optimal Transport
Authors: Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal | Published: 2019-09-26 | Updated: 2019-10-30
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
Authors: Nilesh A. Ahuja, Ibrahima Ndiour, Trushant Kalyanpur, Omesh Tickoo | Published: 2019-09-25
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Authors: Tianyu Pang, Kun Xu, Jun Zhu | Published: 2019-09-25 | Updated: 2020-02-20
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Authors: Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh | Published: 2019-09-24 | Updated: 2020-02-14