Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics
Authors: Wenwei Zhao, Xiaowen Li, Shangqing Zhao, Jie Xu, Yao Liu, Zhuo Lu | Published: 2024-02-14
Adversarial Spectrum Attack Detection
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Authors: Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash | Published: 2023-07-30
Adversarial training for tabular data with attack propagation
Authors: Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro | Published: 2023-07-28
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
Authors: Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo | Published: 2023-06-16
Smoothness Analysis of Adversarial Training
Authors: Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida | Published: 2021-03-02 | Updated: 2023-03-06
Towards adversarial robustness with 01 loss neural networks
Authors: Yunzhe Xue, Meiyan Xie, Usman Roshan | Published: 2020-08-20
Adversarial VC-dimension and Sample Complexity of Neural Networks
Authors: Zetong Qi, T. J. Wilder | Published: 2019-12-18
Potential adversarial samples for white-box attacks
Authors: Amir Nazemi, Paul Fieguth | Published: 2019-12-13
Detecting and Correcting Adversarial Images Using Image Processing Operations
Authors: Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen | Published: 2019-12-11 | Updated: 2019-12-30
Principal Component Properties of Adversarial Samples
Authors: Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar | Published: 2019-12-07