A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
Authors: Greg Gluch, Shafi Goldwasser | Published: 2025-04-28 | Updated: 2025-07-10
Certified Robustness
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Authors: Ahod Alghuried, Ali Alkinoon, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, David Mohaisen | Published: 2025-04-24
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Authors: Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Ling-Yu Duan, Alex C. Kot, Xudong Jiang | Published: 2025-03-01 | Updated: 2025-04-03
Combining Machine Learning Defenses without Conflicts
Authors: Vasisht Duddu, Rui Zhang, N. Asokan | Published: 2024-11-14 | Updated: 2025-08-14
Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
Authors: Md Hasan Shahriar, Ning Wang, Naren Ramakrishnan, Y. Thomas Hou, Wenjing Lou | Published: 2024-06-18 | Updated: 2025-04-14
LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
Authors: Shoupeng Ren, Lipeng He, Tianyu Tu, Di Wu, Jian Liu, Kui Ren, Chun Chen | Published: 2024-01-14 | Updated: 2025-04-02
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Authors: Xiao Zhang, Dongrui Wu | Published: 2019-03-31
Bridging Adversarial Robustness and Gradient Interpretability
Authors: Beomsu Kim, Junghoon Seo, Taegyun Jeon | Published: 2019-03-27 | Updated: 2019-04-19
A geometry-inspired decision-based attack
Authors: Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard | Published: 2019-03-26