Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

14 August 2018

Mengjia Yan

Christopher W. Fletcher

Papers citing "Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures"

50 / 100 papers shown

Title
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 10 0 0 28 Mar 2022
CacheFX: A Framework for Evaluating Cache Security Daniel Genkin William Kosasih Fangfei Liu Anna Trikalinou Thomas Unterluggauer Y. Yarom 27 17 0 27 Jan 2022
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing Jiasi Weng Jian Weng Gui Tang Anjia Yang Ming Li Jia-Nan Liu 21 31 0 23 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 19 23 0 19 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 8 25 0 15 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
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 11 7 0 28 Oct 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey M. M. Real Ruben Salvador AAML 23 30 0 21 Oct 2021
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code Madura A Shelton L. Chmielewski Niels Samwel Markus Wagner L. Batina Y. Yarom 21 20 0 24 Sep 2021
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel H. Maia Chang Xiao Dingzeyu Li E. Grinspun Changxi Zheng AAML 37 27 0 15 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 30 31 0 01 Sep 2021
Power-Based Attacks on Spatial DNN Accelerators Ge Li Mohit Tiwari Michael Orshansky 22 8 0 28 Aug 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 16 37 0 19 Jul 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 17 7 0 21 Jun 2021
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models S. Szyller Vasisht Duddu Tommi Gröndahl Nirmal Asokan MIACV 12 2 0 26 Apr 2021
Prime+Probe 1, JavaScript 0: Overcoming Browser-based Side-Channel Defenses A. Shusterman Ayush Agarwal Sioli O'Connell Daniel Genkin Yossef Oren Y. Yarom 18 65 0 08 Mar 2021
Ownership Verification of DNN Architectures via Hardware Cache Side Channels Xiaoxuan Lou Shangwei Guo Jiwei Li Tianwei Zhang 13 11 0 06 Feb 2021
MIRAGE: Mitigating Conflict-Based Cache Attacks with a Practical Fully-Associative Design Gururaj Saileshwar Moinuddin K. Qureshi 14 83 0 18 Sep 2020
Artificial Neural Networks and Fault Injection Attacks Shahin Tajik F. Ganji SILM 13 10 0 17 Aug 2020
Trustworthy AI Inference Systems: An Industry Research View Rosario Cammarota M. Schunter Anand Rajan Fabian Boemer Ágnes Kiss ... Aydin Aysu Fateme S. Hosseini Chengmo Yang Eric Wallace Pam Norton 17 14 0 10 Aug 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs N. Jha Sparsh Mittal Binod Kumar Govardhan Mattela AAML 18 12 0 30 Jul 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack Adnan Siraj Rakin Zhezhi He Jingtao Li Fan Yao C. Chakrabarti Deliang Fan AAML 14 13 0 24 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Database Reconstruction from Noisy Volumes: A Cache Side-Channel Attack on SQLite Aria Shahverdi M. Shirinov Dana Dachman-Soled AAML 18 16 0 26 Jun 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 31 99 0 23 Jun 2020
De-Anonymizing Text by Fingerprinting Language Generation Zhen Sun R. Schuster Vitaly Shmatikov 21 6 0 17 Jun 2020
BoMaNet: Boolean Masking of an Entire Neural Network Anuj Dubey Rosario Cammarota Aydin Aysu AAML 9 44 0 16 Jun 2020
SPEED: Secure, PrivatE, and Efficient Deep learning Arnaud Grivet Sébert Rafael Pinot Martin Zuber Cédric Gouy-Pailler Renaud Sirdey FedML 15 20 0 16 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 24 45 0 09 Jun 2020
A Protection against the Extraction of Neural Network Models H. Chabanne Vincent Despiegel Linda Guiga FedML 19 5 0 26 May 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David E. Evans 16 147 0 21 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 11 135 0 25 Apr 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators Weizhe Hua M. Umar Zhiru Zhang G. E. Suh GNN 36 19 0 20 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 18 154 0 30 Mar 2020
How to 0wn NAS in Your Spare Time Sanghyun Hong Michael Davinroy Yigitcan Kaya Dana Dachman-Soled Tudor Dumitras 25 36 0 17 Feb 2020
Ten AI Stepping Stones for Cybersecurity Ricardo Morla 19 3 0 14 Dec 2019
Survey of Attacks and Defenses on Edge-Deployed Neural Networks Mihailo Isakov V. Gadepally K. Gettings Michel A. Kinsy AAML 14 31 0 27 Nov 2019
SpecuSym: Speculative Symbolic Execution for Cache Timing Leak Detection Shengjian Guo Yueqi Chen Peng Li Yueqiang Cheng Huibo Wang Meng Wu Zhiqiang Zuo 18 48 0 04 Nov 2019
Quantifying (Hyper) Parameter Leakage in Machine Learning Vasisht Duddu D. V. Rao AAML MIACV FedML 28 5 0 31 Oct 2019
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection Anuj Dubey Rosario Cammarota Aydin Aysu AAML 16 78 0 29 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 11 106 0 28 Oct 2019
A framework for the extraction of Deep Neural Networks by leveraging public data Soham Pal Yash Gupta Aditya Shukla Aditya Kanade S. Shevade V. Ganapathy FedML MLAU MIACV 30 56 0 22 May 2019
IRONHIDE: A Secure Multicore that Efficiently Mitigates Microarchitecture State Attacks for Interactive Applications H. Omar O. Khan 11 25 0 29 Apr 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 21 36 0 10 Mar 2019
Evaluating Differentially Private Machine Learning in Practice Bargav Jayaraman David E. Evans 15 7 0 24 Feb 2019
Stealing Neural Networks via Timing Side Channels Vasisht Duddu D. Samanta D. V. Rao V. Balas AAML MLAU FedML 25 133 0 31 Dec 2018
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering? Manaar Alam Debdeep Mukhopadhyay FedML MIACV 11 24 0 13 Nov 2018
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks Sanghyun Hong Michael Davinroy Yigitcan Kaya S. Locke Ian Rackow Kevin Kulda Dana Dachman-Soled Tudor Dumitras MIACV 25 90 0 08 Oct 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016