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
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
Authors: Christopher Burger, Charles Walter, Thai Le | Published: 2024-06-22 | Updated: 2025-01-17
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Authors: Lynn Chua, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Daogao Liu, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang | Published: 2024-06-20 | Updated: 2024-08-16
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
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Authors: Joshua Ward, Chi-Hua Wang, Guang Cheng | Published: 2024-06-18
Can Go AIs be adversarially robust?
Authors: Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang, Adam Gleave | Published: 2024-06-18 | Updated: 2025-01-14