Adversarial Robustness is at Odds with Lazy Training
Authors: Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora | Published: 2022-06-18 | Updated: 2022-10-17
敵対的サンプル
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection
Authors: Abderrahmen Amich, Ata Kaboudi, Birhanu Eshete | Published: 2022-06-15
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Authors: Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le | Published: 2022-06-12
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
Authors: Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar | Published: 2022-06-09 | Updated: 2022-07-05
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Authors: Dongyoon Yang, Insung Kong, Yongdai Kim | Published: 2022-06-07 | Updated: 2023-06-01
Adversarial attacks and defenses in Speaker Recognition Systems: A survey
Authors: Jiahe Lan, Rui Zhang, Zheng Yan, Jie Wang, Yu Chen, Ronghui Hou | Published: 2022-05-27
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Authors: Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu | Published: 2022-05-24
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification
Authors: Jungeum Kim, Xiao Wang | Published: 2022-05-20
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
Authors: Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein | Published: 2022-05-20 | Updated: 2024-09-09
Focused Adversarial Attacks
Authors: Thomas Cilloni, Charles Walter, Charles Fleming | Published: 2022-05-19