High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2022-07-04 | Updated: 2023-04-09
Algorithm Design
FL-Defender: Combating Targeted Attacks in Federated Learning
Authors: Najeeb Jebreel, Josep Domingo-Ferrer | Published: 2022-07-02
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
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
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
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Authors: Mantas Mazeika, Bo Li, David Forsyth | Published: 2022-06-28
Parallel Instance Filtering for Malware Detection
Authors: Martin Jureček, Olha Jurečková | Published: 2022-06-28
Multifamily Malware Models
Authors: Samanvitha Basole, Fabio Di Troia, Mark Stamp | Published: 2022-06-27