I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences

16 June 2022

Papers citing "I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences"

50 / 58 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 50 0 0 02 May 2025
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
SONNI: Secure Oblivious Neural Network Inference Luke Sperling S. Kulkarni 19 0 0 26 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Janet Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Y. Zhang ALM 107 1 0 24 Apr 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning Ziang Li Hongguang Zhang Juan Wang Meihui Chen Hongxin Hu Wenzhe Yi Xiaoyang Xu Mengda Yang Chenjun Ma 57 0 0 20 Mar 2025
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
Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses G. Wang Yuhong Yang Jie Ding 34 0 0 24 Feb 2025
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning Manaar Alam Hithem Lamri Michail Maniatakos AAML 44 1 0 17 Feb 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Awa Khouna Julien Ferry Thibaut Vidal AAML 44 0 0 07 Feb 2025
STAMP: Scalable Task And Model-agnostic Collaborative Perception Xiangbo Gao Runsheng Xu Jiachen Li Z. Wang Zhiwen Fan Zhengzhong Tu 64 7 0 24 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 85 0 0 30 Dec 2024
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 78 0 0 19 Dec 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 39 1 0 10 Oct 2024
Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification Yijia Chang Hanrui Jiang Chao Lin Xinyi Huang Jian Weng AAML 27 0 0 06 Oct 2024
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning Rodrigo Moreira R. Villaça Moises R. N. Ribeiro Joberto S. B. Martins J. H. Corrêa Tereza C. Carvalho F. O. Silva 19 3 0 04 Oct 2024
Efficient and Effective Model Extraction Hongyu Zhu Wentao Hu Sichu Liang Fangqi Li Wenwen Wang Shilin Wang 18 0 0 21 Sep 2024
Hard-Label Cryptanalytic Extraction of Neural Network Models Yi Chen Xiaoyang Dong Jian Guo Yantian Shen Anyu Wang Xiaoyun Wang AAML MIACV MLAU 23 1 0 18 Sep 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble Jonathan Rosenthal Shanchao Liang Kevin Zhang Lin Tan MIACV 22 0 0 16 Sep 2024
The 20 questions game to distinguish large language models Gurvan Richardeau Erwan Le Merrer C. Penzo Gilles Tredan 27 2 0 16 Sep 2024
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces Somnath Sendhil Kumar Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar FAtt 25 0 0 04 Aug 2024
Side-Channel Analysis of OpenVINO-based Neural Network Models Dirmanto Jap J. Breier Zdenko Lehocký S. Bhasin Xiaolu Hou FedML 24 2 0 23 Jul 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 36 3 0 15 Jul 2024
Beyond Slow Signs in High-fidelity Model Extraction Hanna Foerster Robert D. Mullins Ilia Shumailov Jamie Hayes AAML 27 1 0 14 Jun 2024
Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary Shift Pasan Dissanayake Sanghamitra Dutta 27 1 0 08 May 2024
Near to Mid-term Risks and Opportunities of Open-Source Generative AI Francisco Eiras Aleksandar Petrov Bertie Vidgen Christian Schroeder de Witt Fabio Pizzati ... Paul Röttger Philip H. S. Torr Trevor Darrell Y. Lee Jakob N. Foerster 44 5 0 25 Apr 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 18 3 0 21 Apr 2024
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels Shubhi Shukla Manaar Alam Pabitra Mitra Debdeep Mukhopadhyay MLAU AAML 22 1 0 19 Feb 2024
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks Satwik Kundu Debarshi Kundu Swaroop Ghosh AAML 25 4 0 18 Feb 2024
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 11 0 0 28 Dec 2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 16 5 0 08 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 53 3 0 20 Nov 2023
Towards more Practical Threat Models in Artificial Intelligence Security Kathrin Grosse L. Bieringer Tarek R. Besold Alexandre Alahi 16 9 0 16 Nov 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey Xinyu She Yue Liu Yanjie Zhao Yiling He Li Li C. Tantithamthavorn Zhan Qin Haoyu Wang ELM 30 13 0 27 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 24 6 0 26 Oct 2023
Defense Against Model Extraction Attacks on Recommender Systems Sixiao Zhang Hongzhi Yin Hongxu Chen Cheng Long AAML 17 4 0 25 Oct 2023
Polynomial Time Cryptanalytic Extraction of Neural Network Models Adi Shamir Isaac Canales-Martínez Anna Hambitzer J. Chávez-Saab Francisco Rodríguez-Henríquez Nitin Satpute AAML MLAU 24 13 0 12 Oct 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation Vlad Hondru Radu Tudor Ionescu DiffM 32 1 0 29 Sep 2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel Yansong Gao Huming Qiu Zhi-Li Zhang Binghui Wang Hua Ma A. Abuadbba Minhui Xue Anmin Fu Surya Nepal MLAU FedML 17 12 0 21 Sep 2023
Model Leeching: An Extraction Attack Targeting LLMs Lewis Birch William Hackett Stefan Trawicki N. Suri Peter Garraghan 19 13 0 19 Sep 2023
Continual Learning From a Stream of APIs Enneng Yang Zhenyi Wang Li Shen Nan Yin Tongliang Liu Guibing Guo Xingwei Wang Dacheng Tao CLL 22 3 0 31 Aug 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 19 4 0 25 Apr 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 15 19 0 22 Apr 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 16 3 0 18 Jan 2023
Desiderata for next generation of ML model serving Sherif Akoush Andrei Paleyes A. V. Looveren Clive Cox 25 5 0 26 Oct 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 46 22 0 16 May 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work Adam Dziedzic Muhammad Ahmad Kaleem Y. Lu Nicolas Papernot FedML MIACV AAML MLAU 55 28 0 23 Jan 2022
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 11 37 0 19 Jul 2021
Stateful Detection of Model Extraction Attacks Soham Pal Yash Gupta Aditya Kanade S. Shevade MLAU 52 24 0 12 Jul 2021
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 61 103 0 21 Apr 2021