Watermark Stealing in Large Language Models
Authors: Nikola Jovanović, Robin Staab, Martin Vechev | Published: 2024-02-29 | Updated: 2024-06-24
モデル抽出攻撃
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
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
Data-Free Model Extraction Attacks in the Context of Object Detection
Authors: Harshit Shah, Aravindhan G, Pavan Kulkarni, Yuvaraj Govidarajulu, Manojkumar Parmar | Published: 2023-08-09
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Authors: Rongqing Li, Jiaqi Yu, Changsheng Li, Wenhan Luo, Ye Yuan, Guoren Wang | Published: 2023-07-20
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Authors: Pratik Karmakar, Debabrota Basu | Published: 2023-02-16 | Updated: 2023-10-18