A Privacy-Preserving Federated Learning Approach for Kernel methods
Authors: Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün | Published: 2023-06-05
Watermark Evaluation
PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Authors: Javier Rando, Fernando Perez-Cruz, Briland Hitaj | Published: 2023-06-02 | Updated: 2023-06-14
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
Authors: Jiyi Zhang, Han Fang, Ee-Chien Chang | Published: 2023-06-02
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
Authors: Hossein Aboutalebi, Dayou Mao, Rongqi Fan, Carol Xu, Chris He, Alexander Wong | Published: 2023-06-02 | Updated: 2024-05-23
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
Authors: Mohammed Alkhowaiter, Hisham Kholidy, Mnassar Alyami, Abdulmajeed Alghamdi, Cliff Zou | Published: 2023-06-01
A Note On Interpreting Canary Exposure
Authors: Matthew Jagielski | Published: 2023-05-31 | Updated: 2023-06-02
Differential Privacy with Random Projections and Sign Random Projections
Authors: Ping Li, Xiaoyun Li | Published: 2023-05-22 | Updated: 2023-06-13
Perfectly Secure Steganography Using Minimum Entropy Coupling
Authors: Christian Schroeder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Foerster, Martin Strohmeier | Published: 2022-10-24 | Updated: 2023-10-30
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence
Authors: Carles Domingo-Enrich, Youssef Mroueh | Published: 2022-05-27