Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Authors: Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu | Published: 2020-09-18 | Updated: 2021-05-17
Watermarking
WAFFLE: Watermarking in Federated Learning
Authors: Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan | Published: 2020-08-17 | Updated: 2021-07-22
Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry
Authors: Zhen Yu Ding, Benjamin Khakshoor, Justin Paglierani, Mantej Rajpal | Published: 2020-08-13
Deep-Lock: Secure Authorization for Deep Neural Networks
Authors: Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu | Published: 2020-08-13 | Updated: 2024-02-18
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Authors: Umar Iqbal, Steven Englehardt, Zubair Shafiq | Published: 2020-08-11
Stronger and Faster Wasserstein Adversarial Attacks
Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06
New Directions in Automated Traffic Analysis
Authors: Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal | Published: 2020-08-06 | Updated: 2021-10-19
Training DNN Model with Secret Key for Model Protection
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Authors: Lichao Sun, Jianwei Qian, Xun Chen | Published: 2020-07-31 | Updated: 2021-05-21
Defending against Adversarial Images using Basis Functions Transformations
Authors: Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly Stanton, Yuval Kluger | Published: 2018-03-28 | Updated: 2018-04-16