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
Watermark Evaluation
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
Differentially Private AUC Computation in Vertical Federated Learning
Authors: Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang | Published: 2022-05-24
Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency
Authors: Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah, Ali A. Ghorbani | Published: 2021-03-09
Privacy-preserving feature selection: A survey and proposing a new set of protocols
Authors: Javad Rahimipour Anaraki, Saeed Samet | Published: 2020-08-17
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
Authors: Ying Meng, Jianhai Su, Jason O'Kane, Pooyan Jamshidi | Published: 2020-01-02 | Updated: 2020-10-16
secml: A Python Library for Secure and Explainable Machine Learning
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13