Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing
Attack

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack

3 May 2021

Jie Li

Yongjian Wu

Papers citing "Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack"

9 / 9 papers shown

Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks Daryna Oliynyk Rudolf Mayer Andreas Rauber AAML 44 0 0 08 Mar 2025
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 68 1 0 25 Feb 2025
ModelLock: Locking Your Model With a Spell Yifeng Gao Yuhua Sun Xingjun Ma Zuxuan Wu Yu-Gang Jiang VLM 40 1 0 25 May 2024
Model Stealing Attack against Recommender System Zhihao Zhu Rui Fan Chenwang Wu Yi Yang Defu Lian Enhong Chen AAML 11 2 0 18 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 57 3 0 20 Nov 2023
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection Akshit Jindal Vikram Goyal Saket Anand Chetan Arora FedML 14 2 0 08 Nov 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 69 103 0 21 Apr 2021
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 272 404 0 09 Apr 2018