Stealing Hyperparameters in Machine Learning

14 February 2018

Papers citing "Stealing Hyperparameters in Machine Learning"

50 / 206 papers shown

Title
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models Yujin Huang Zhi Zhang Qingchuan Zhao Xingliang Yuan Chunyang Chen 37 0 0 31 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Weiqi Wang Zhiyi Tian An Liu Shui Yu 74 0 0 27 Feb 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 42 0 0 27 Feb 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
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 49 0 0 22 Feb 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 42 1 0 19 Jan 2025
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 34 0 0 06 Oct 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 31 2 0 28 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 32 1 0 29 Aug 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 56 0 0 05 Aug 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 48 10 0 29 May 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks Marcin Podhajski Jan Dubiñski Franziska Boenisch Adam Dziedzic Agnieszka Pregowska Tomasz Michalak 40 1 0 20 May 2024
PLeak: Prompt Leaking Attacks against Large Language Model Applications Bo Hui Haolin Yuan Neil Gong Philippe Burlina Yinzhi Cao LLMAG AAML SILM 31 33 0 10 May 2024
Proteus: Preserving Model Confidentiality during Graph Optimizations Yubo Gao Maryam Haghifam Christina Giannoula Renbo Tu Gennady Pekhimenko Nandita Vijaykumar AAML 42 1 0 18 Apr 2024
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction Mahendra Gurve S. Behera Satyadev Ahlawat Yamuna Prasad MIACV AAML 29 0 0 27 Mar 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 25 16 0 02 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 24 3 0 22 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 20 0 0 25 Dec 2023
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 32 11 0 18 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 25 0 0 18 Dec 2023
Model Stealing Attack against Recommender System Zhihao Zhu Rui Fan Chenwang Wu Yi Yang Defu Lian Enhong Chen AAML 16 2 0 18 Dec 2023
Model Extraction Attacks Revisited Jiacheng Liang Ren Pang Changjiang Li Ting Wang MIACV MLAU 9 8 0 08 Dec 2023
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference Ziyu Liu Yukui Luo Shijin Duan Tong Zhou Xiaolin Xu FedML 17 10 0 16 Nov 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 26 4 0 19 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 48 2 0 16 Oct 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation Vlad Hondru Radu Tudor Ionescu DiffM 47 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 35 12 0 21 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 26 29 0 14 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 26 10 0 31 Aug 2023
A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System Paulo J. S. Ferreira João Mendes-Moreira João MP Cardoso 12 1 0 25 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 32 12 0 02 Aug 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model Rongqing Li Jiaqi Yu Changsheng Li Wenhan Luo Ye Yuan Guoren Wang MLAU 16 0 0 20 Jul 2023
Extracting Cloud-based Model with Prior Knowledge S. Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 33 5 0 07 Jun 2023
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions Yuntao Wang Yanghe Pan Miao Yan Zhou Su Tom H. Luan 22 146 0 25 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation Jiyi Zhang Hansheng Fang Hwee Kuan Lee E. Chang 16 1 0 10 May 2023
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems Aditya Pribadi Kalapaaking Ibrahim Khalil X. Yi 19 41 0 26 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 21 65 0 25 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar H. Asghar Dali Kaafar AAML 31 2 0 12 Apr 2023
Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation Yifan Yan Xudong Pan Mi Zhang Min Yang AAML 14 14 0 17 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 26 1 0 13 Mar 2023
Stealing the Decoding Algorithms of Language Models A. Naseh Kalpesh Krishna Mohit Iyyer Amir Houmansadr MLAU 53 20 0 08 Mar 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 17 2 0 23 Feb 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 28 3 0 18 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 21 2 0 04 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 11 2 0 01 Feb 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 21 4 0 18 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 44 35 0 21 Dec 2022
Holistic risk assessment of inference attacks in machine learning Yang Yang SILM AAML MIACV 23 2 0 15 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors Giovanni Apruzzese V. S. Subrahmanian AAML 31 20 0 11 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems Vishal Jignesh Gandhi Sanchit Shokeen Saloni Koshti PILM 11 1 0 07 Dec 2022