Stealing Machine Learning Models via Prediction APIs

9 September 2016

Papers citing "Stealing Machine Learning Models via Prediction APIs"

50 / 344 papers shown

Title
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 23 0 0 16 May 2025
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction Fatima Ezzeddine Rinad Akel Ihab Sbeity Silvia Giordano Marc Langheinrich Omran Ayoub SILM 39 0 0 13 May 2025
Opening the Scope of Openness in AI Tamara Paris AJung Moon Jin Guo 36 0 0 09 May 2025
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 48 0 0 08 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 57 0 0 02 May 2025
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation Shenyang Liu Yang Gao Shaoyan Zhai Liqiang Wang 40 0 0 06 Apr 2025
Your Image Generator Is Your New Private Dataset Nicolo Resmini Eugenio Lomurno Cristian Sbrolli Matteo Matteucci 36 0 0 06 Apr 2025
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks Daryna Oliynyk Rudolf Mayer Andreas Rauber AAML 54 0 0 08 Mar 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Shri Kiran Srinivasan 77 1 0 26 Feb 2025
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 83 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 57 2 0 24 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 52 0 0 22 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 148 0 0 21 Feb 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 78 0 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 Zhihong Tian MIACV AAML 73 0 0 20 Jan 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Jiadong Lou Xu Yuan Rui Zhang Xingliang Yuan Neil Gong N. Tzeng AAML 50 1 0 19 Jan 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 93 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 95 0 0 25 Nov 2024
Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting Nicholas Carlini J. Chávez-Saab Anna Hambitzer Francisco Rodríguez-Henríquez Adi Shamir AAML 35 1 0 08 Oct 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 40 0 0 10 Sep 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 67 1 0 30 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection Xiaokun Luan Xiyue Zhang Jingyi Wang Meng Sun AAML 28 0 0 04 Jul 2024
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models Manveer Singh Tamber Jasper Xian Jimmy Lin MLAU SILM 205 0 0 13 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Locking Machine Learning Models into Hardware Eleanor Clifford Adhithya Saravanan Harry Langford Cheng Zhang Yiren Zhao Robert D. Mullins Ilia Shumailov Jamie Hayes 38 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 72 2 0 03 May 2024
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices Younghan Lee Sohee Jun Yungi Cho Woorim Han Hyungon Moon Y. Paek AAML 31 2 0 05 Mar 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection Yang Xu Yunlin Tan Cheng Zhang Kai Chi Peng Sun Wenyuan Yang Ju Ren Hongbo Jiang Yaoxue Zhang FedML 65 3 0 29 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 36 16 0 02 Feb 2024
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing Vilém Zouhar AAML 40 0 0 29 Jan 2024
GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification Huali Ren Anli Yan Xiaojun Ren Peigen Ye Chong-zhi Gao Zhili Zhou Jin Li 22 0 0 25 Dec 2023
Model Stealing Attack against Recommender System Zhihao Zhu Rui Fan Chenwang Wu Yi Yang Defu Lian Enhong Chen AAML 27 2 0 18 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 30 5 0 03 Dec 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 58 2 0 23 Nov 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 68 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 22 2 0 08 Nov 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 45 4 0 19 Oct 2023
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack Renyang Liu Jinhong Zhang Kwok-Yan Lam Jun Zhao Wei Zhou 25 1 0 15 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 36 3 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 55 1 0 29 Sep 2023
Model Leeching: An Extraction Attack Targeting LLMs Lewis Birch William Hackett Stefan Trawicki N. Suri Peter Garraghan 37 13 0 19 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks Jun Guo Aishan Liu Xingyu Zheng Siyuan Liang Yisong Xiao Yichao Wu Xianglong Liu AAML 38 12 0 02 Aug 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems Debopam Sanyal Jui-Tse Hung Manavi Agrawal Prahlad Jasti Shahab Nikkhoo S. Jha Tianhao Wang Sibin Mohan Alexey Tumanov 51 0 0 03 Jul 2023
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions Abdulrahman Diaa L. Fenaux Thomas Humphries Marian Dietz Faezeh Ebrahimianghazani ... Nils Lukas Rasoul Akhavan Mahdavi Simon Oya Ehsan Amjadian Florian Kerschbaum PICV 24 6 0 14 Jun 2023
The False Promise of Imitating Proprietary LLMs Arnav Gudibande Eric Wallace Charles Burton Snell Xinyang Geng Hao Liu Pieter Abbeel Sergey Levine Dawn Song ALM 44 199 0 25 May 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 36 1 0 20 May 2023
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network Shuang Chen Amir Atapour-Abarghouei Edmond S. L. Ho Hubert P. H. Shum 23 5 0 17 May 2023