Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

23 June 2020

Papers citing "Hermes Attack: Steal DNN Models with Lossless Inference Accuracy"

19 / 19 papers shown

Title
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems Linke Song Zixuan Pang Wenhao Wang Zihao Wang XiaoFeng Wang Hongbo Chen Wei Song Yier Jin Dan Meng Rui Hou 56 7 0 30 Sep 2024
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 39 3 0 18 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie Lei Ma AAML 45 13 0 03 Oct 2022
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System Zhendong Wang Xiaoming Zeng Xulong Tang Danfeng Zhang Xingbo Hu Yang Hu AAML MIACV FedML 32 6 0 29 Aug 2022
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach Tong Zhou Shaolei Ren Xiaolin Xu AAML 32 13 0 17 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 45 106 0 16 Jun 2022
Learning to Reverse DNNs from AI Programs Automatically Simin Chen Hamed Khanpour Cong Liu Wei Yang 35 15 0 20 May 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 31 66 0 17 Feb 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 16 25 0 15 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 42 21 0 12 Jan 2022
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories Adnan Siraj Rakin Md Hafizul Islam Chowdhuryy Fan Yao Deliang Fan AAML MIACV 42 110 0 08 Nov 2021
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 56 9 0 05 Nov 2021
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time Tian Dong Han Qiu Tianwei Zhang Jiwei Li Hewu Li Jialiang Lu AAML 39 8 0 07 Oct 2021
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data Masataka Tasumi Kazuki Iwahana Naoto Yanai Katsunari Shishido Toshiya Shimizu Yuji Higuchi I. Morikawa Jun Yajima AAML 30 4 0 30 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 25 7 0 21 Jun 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,842 0 08 Jul 2016