Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
Authors: Ignjat Pejic, Rui Wang, Kaitai Liang | Published: 2022-07-01
When Does Differentially Private Learning Not Suffer in High Dimensions?
Authors: Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta | Published: 2022-07-01 | Updated: 2022-10-26
Threat Assessment in Machine Learning based Systems
Authors: Lionel Nganyewou Tidjon, Foutse Khomh | Published: 2022-06-30
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2022-06-30
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound
Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth | Published: 2022-06-29 | Updated: 2023-05-31
Private Graph Extraction via Feature Explanations
Authors: Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla | Published: 2022-06-29 | Updated: 2023-11-02
Current Challenges of Cyber Threat and Vulnerability Identification Using Public Enumerations
Authors: Lukáš Sadlek, Pavel Čeleda, Daniel Tovarňák | Published: 2022-06-29
Approximate Data Deletion in Generative Models
Authors: Zhifeng Kong, Scott Alfeld | Published: 2022-06-29
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model
Authors: Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang | Published: 2022-06-29
A Deep Learning Approach to Create DNS Amplification Attacks
Authors: Jared Mathews, Prosenjit Chatterjee, Shankar Banik, Cory Nance | Published: 2022-06-29