Model Extraction Attacks Revisited
Authors: Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang | Published: 2023-12-08
モデル抽出攻撃
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
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Authors: Chawin Sitawarin, Florian Tramèr, Nicholas Carlini | Published: 2022-10-07 | Updated: 2023-07-20
DeltaBound Attack: Efficient decision-based attack in low queries regime
Authors: Lorenzo Rossi | Published: 2022-10-01
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Authors: Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood | Published: 2022-09-22
Dataset Inference for Self-Supervised Models
Authors: Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot | Published: 2022-09-16 | Updated: 2023-01-13