Optimal Defenses Against Gradient Reconstruction Attacks
Authors: Yuxiao Chen, Gamze Gürsoy, Qi Lei | Published: 2024-11-06
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
Authors: Isaac Baglin, Xiatian Zhu, Simon Hadfield | Published: 2024-11-05 | Updated: 2025-01-05
A General Recipe for Contractive Graph Neural Networks — Technical Report
Authors: Maya Bechler-Speicher, Moshe Eliasof | Published: 2024-11-04
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Authors: Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani | Published: 2024-11-02 | Updated: 2025-03-22
Attention Tracker: Detecting Prompt Injection Attacks in LLMs
Authors: Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen | Published: 2024-11-01 | Updated: 2025-04-23
Efficient Model Compression for Bayesian Neural Networks
Authors: Diptarka Saha, Zihe Liu, Feng Liang | Published: 2024-11-01
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Authors: Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti | Published: 2024-10-30 | Updated: 2025-04-08
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Authors: Hichem Debbi | Published: 2024-10-29
Privacy-Preserving Dynamic Assortment Selection
Authors: Young Hyun Cho, Will Wei Sun | Published: 2024-10-29
Resilience in Knowledge Graph Embeddings
Authors: Arnab Sharma, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo | Published: 2024-10-28