Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks
Authors: Xiaobei Yan, Chip Hong Chang, Tianwei Zhang | Published: 2023-12-07
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Understanding (Un)Intended Memorization in Text-to-Image Generative Models
Authors: Ali Naseh, Jaechul Roh, Amir Houmansadr | Published: 2023-12-06
Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
Authors: Matteo Gioele Collu, Tom Janssen-Groesbeek, Stefanos Koffas, Mauro Conti, Stjepan Picek | Published: 2023-12-06 | Updated: 2024-10-07
Feature Analysis of Encrypted Malicious Traffic
Authors: Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp | Published: 2023-12-06
Low-Cost High-Power Membership Inference Attacks
Authors: Sajjad Zarifzadeh, Philippe Liu, Reza Shokri | Published: 2023-12-06 | Updated: 2024-06-12
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
Authors: Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang | Published: 2023-12-06
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann | Published: 2023-12-05 | Updated: 2024-01-15
When PETs misbehave: A Contextual Integrity analysis
Authors: Ero Balsa, Yan Shvartzshnaider | Published: 2023-12-05
Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
Authors: Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Son Pham Bao, Eryk Dutkiewicz | Published: 2023-12-05
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks
Authors: Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen | Published: 2023-12-04