Dissecting Malware in the Wild
Authors: Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
Adversarial attack
The Geometry of Adversarial Training in Binary Classification
Authors: Leon Bungert, Nicolás García Trillos, Ryan Murray | Published: 2021-11-26 | Updated: 2022-08-01
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
Authors: Christian Schroeder de Witt, Yongchao Huang, Philip H. S. Torr, Martin Strohmeier | Published: 2021-11-23
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries
Authors: Prithviraj Dasgupta, Zachariah Osman | Published: 2021-11-22
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Authors: Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve | Published: 2021-11-22
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
Authors: Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai | Published: 2021-11-21 | Updated: 2022-09-07
Fooling Adversarial Training with Inducing Noise
Authors: Zhirui Wang, Yifei Wang, Yisen Wang | Published: 2021-11-19
A Review of Adversarial Attack and Defense for Classification Methods
Authors: Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2021-11-18
Enhanced Membership Inference Attacks against Machine Learning Models
Authors: Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri | Published: 2021-11-18 | Updated: 2022-09-13
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Authors: Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk | Published: 2021-09-29