Attack Techniques and Threat Identification for Vulnerabilities
Authors: Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta | Published: 2022-06-22
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Multi-party Secure Broad Learning System for Privacy Preserving
Authors: Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen | Published: 2022-06-22
ROSE: A RObust and SEcure DNN Watermarking
Authors: Kassem Kallas, Teddy Furon | Published: 2022-06-22
A Practical Methodology for ML-Based EM Side Channel Disassemblers
Authors: Cesar N. Arguello, Hunter Searle, Sara Rampazzi, Kevin R. B. Butler | Published: 2022-06-21 | Updated: 2022-07-20
sqSGD: Locally Private and Communication Efficient Federated Learning
Authors: Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi | Published: 2022-06-21 | Updated: 2022-06-22
The Privacy Onion Effect: Memorization is Relative
Authors: Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramer | Published: 2022-06-21 | Updated: 2022-06-22
The Role of Machine Learning in Cybersecurity
Authors: Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco | Published: 2022-06-20
On the Role of Generalization in Transferability of Adversarial Examples
Authors: Yilin Wang, Farzan Farnia | Published: 2022-06-18
Adversarial Robustness is at Odds with Lazy Training
Authors: Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora | Published: 2022-06-18 | Updated: 2022-10-17
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Authors: Daryna Oliynyk, Rudolf Mayer, Andreas Rauber | Published: 2022-06-16 | Updated: 2023-06-06