QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines
Authors: Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen | Published: 2024-03-16
モデル抽出攻撃
Stealing Part of a Production Language Model
Authors: Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Itay Yona, Eric Wallace, David Rolnick, Florian Tramèr | Published: 2024-03-11 | Updated: 2024-07-09
Watermark Stealing in Large Language Models
Authors: Nikola Jovanović, Robin Staab, Martin Vechev | Published: 2024-02-29 | Updated: 2024-06-24
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Authors: Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay | Published: 2024-02-19
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
Authors: Satwik Kundu, Debarshi Kundu, Swaroop Ghosh | Published: 2024-02-18
Gotta Detect ‘Em All: Fake Base Station and Multi-Step Attack Detection in Cellular Networks
Authors: Kazi Samin Mubasshir, Imtiaz Karim, Elisa Bertino | Published: 2024-01-10 | Updated: 2025-07-21
SAME: Sample Reconstruction against Model Extraction Attacks
Authors: Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen | Published: 2023-12-17 | Updated: 2024-01-08
Model Extraction Attacks Revisited
Authors: Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang | Published: 2023-12-08
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Authors: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang | Published: 2023-10-19
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
Authors: Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem | Published: 2023-10-17