How to beat a Bayesian adversary
Authors: Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu | Published: 2024-07-11
Model-agnostic clean-label backdoor mitigation in cybersecurity environments
Authors: Giorgio Severi, Simona Boboila, John Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Michael J. De Lucia, Alina Oprea | Published: 2024-07-11 | Updated: 2025-05-05
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
Authors: Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani | Published: 2024-07-09 | Updated: 2025-03-17
Approximating Two-Layer ReLU Networks for Hidden State Analysis in Differential Privacy
Authors: Antti Koskela | Published: 2024-07-05 | Updated: 2024-10-11
A Geometric Framework for Adversarial Vulnerability in Machine Learning
Authors: Brian Bell | Published: 2024-07-03
MALT Powers Up Adversarial Attacks
Authors: Odelia Melamed, Gilad Yehudai, Adi Shamir | Published: 2024-07-02
Attack-Aware Noise Calibration for Differential Privacy
Authors: Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso | Published: 2024-07-02 | Updated: 2024-11-07
On Discrete Prompt Optimization for Diffusion Models
Authors: Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong | Published: 2024-06-27
Diffusion-based Adversarial Purification for Intrusion Detection
Authors: Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens | Published: 2024-06-25
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Authors: Vaclav Voracek | Published: 2024-06-25 | Updated: 2025-01-20