Approximate Data Deletion in Generative Models
Authors: Zhifeng Kong, Scott Alfeld | Published: 2022-06-29
Algorithm Design
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
Adversarially Robust PAC Learnability of Real-Valued Functions
Authors: Idan Attias, Steve Hanneke | Published: 2022-06-26 | Updated: 2024-05-05
Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
Authors: Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim | Published: 2022-06-25
Using Autoencoders on Differentially Private Federated Learning GANs
Authors: Gregor Schram, Rui Wang, Kaitai Liang | Published: 2022-06-24
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Authors: Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong | Published: 2022-06-24 | Updated: 2022-10-11