Stealing Machine Learning Models via Prediction APIs

9 September 2016

Papers citing "Stealing Machine Learning Models via Prediction APIs"

31 / 31 papers shown

Title
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation Shenyang Liu Yang Gao Shaoyan Zhai Liqiang Wang 51 0 0 06 Apr 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 136 1 0 26 Feb 2025
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 178 1 0 25 Feb 2025
Encryption-Friendly LLM Architecture Donghwan Rho Taeseong Kim Minje Park Jung Woo Kim Hyunsik Chae Jung Hee Cheon Ernest K. Ryu 143 2 0 24 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 176 0 0 21 Feb 2025
HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns Xinyue Shen Yixin Wu Y. Qu Michael Backes Savvas Zannettou Yang Zhang 69 4 0 28 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 106 1 0 21 Jan 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks Yixiao Xu Binxing Fang Rui Wang Yinghai Zhou S. Ji Yuan Liu Mohan Li AAML MIACV 96 0 0 16 Jan 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 118 0 0 19 Dec 2024
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 111 1 0 25 Nov 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 78 1 0 10 Oct 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 97 0 0 05 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 99 1 0 30 Jul 2024
Locking Machine Learning Models into Hardware Eleanor Clifford Adhithya Saravanan Harry Langford Cheng Zhang Yiren Zhao Robert D. Mullins Ilia Shumailov Jamie Hayes 63 0 0 31 May 2024
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack Kaiyi Pang Tao Qi Chuhan Wu Minhao Bai Minghu Jiang Yongfeng Huang AAML WaLM 83 3 0 03 May 2024
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 91 3 0 20 Nov 2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference Qifan Wang Shujie Cui Lei Zhou Ye Dong Jianli Bai Yun Sing Koh Giovanni Russello 62 0 0 01 May 2023
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 71 13 0 04 Aug 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 91 29 0 14 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 75 21 0 09 Mar 2022
Training Differentially Private Models with Secure Multiparty Computation Sikha Pentyala Davis Railsback Ricardo Maia Rafael Dowsley David Melanson Anderson C. A. Nascimento Martine De Cock 33 14 0 05 Feb 2022
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 103 25 0 27 Apr 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 96 135 0 10 Mar 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks J. Breier Dirmanto Jap Xiaolu Hou S. Bhasin Yang Liu 45 53 0 23 Feb 2020
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection Anuj Dubey Rosario Cammarota Aydin Aysu AAML 40 78 0 29 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 71 198 0 27 Oct 2019
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 101 2,142 0 21 Aug 2017
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 49 3,660 0 08 Feb 2016
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 92 1,580 0 27 Jun 2012
Query Strategies for Evading Convex-Inducing Classifiers B. Nelson Benjamin I. P. Rubinstein Ling Huang A. Joseph Steven J. Lee Satish Rao J. D. Tygar 79 124 0 03 Jul 2010
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 78 293 0 30 Nov 2009