TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment

17 April 2024

Papers citing "TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment"

30 / 30 papers shown

Title
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion Guanchu Wang Yu-Neng Chuang Ruixiang Tang Shaochen Zhong Jiayi Yuan ... Zirui Liu Vipin Chaudhary Shuai Xu James Caverlee Xia Hu PILM 131 2 0 06 Oct 2024
A Fast, Performant, Secure Distributed Training Framework For Large Language Model Wei Huang Yinggui Wang Anda Cheng Aihui Zhou Chaofan Yu Lei Wang ALM 42 14 0 18 Jan 2024
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 63 18 0 11 Oct 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 267 11,791 0 18 Jul 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation Tong Zhou Yukui Luo Shaolei Ren Xiaolin Xu AAML 66 18 0 28 Apr 2023
Boosting Neural Networks to Decompile Optimized Binaries Ying Cao Ruigang Liang Kai Chen Peiwei Hu 51 18 0 03 Jan 2023
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 50 58 0 30 Jun 2022
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 225 4,354 0 27 Oct 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 104 245 0 29 Apr 2021
GLM: General Language Model Pretraining with Autoregressive Blank Infilling Zhengxiao Du Yujie Qian Xiao Liu Ming Ding J. Qiu Zhilin Yang Jie Tang BDL AI4CE 107 1,535 0 18 Mar 2021
GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning Weizhe Hua M. Umar Zhiru Zhang G. E. Suh FedML 99 30 0 26 Aug 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 621 41,736 0 28 May 2020
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves Tarek Elgamal Klara Nahrstedt FedML 21 31 0 12 May 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 51 178 0 12 Apr 2020
Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX Youren Shen H. Tian Yu Chen Kang Chen Runji Wang Yi Xu Yubin Xia 37 154 0 21 Jan 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 211 10,792 0 29 Oct 2019
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 353 883 0 13 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 81 377 0 03 Sep 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order Baosong Yang Longyue Wang Derek F. Wong Lidia S. Chao Zhaopeng Tu 40 32 0 03 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 129 18,058 0 28 May 2019
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 86 534 0 06 Dec 2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task Tao Yu Rui Zhang Kai-Chou Yang Michihiro Yasunaga Dongxu Wang ... Irene Li Qingning Yao Shanelle Roman Zilin Zhang Dragomir R. Radev RALM 83 1,222 0 24 Sep 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 168 396 0 08 Jun 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 61 674 0 13 Feb 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 46 889 0 16 Jan 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 44 493 0 10 Jan 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 628 130,942 0 12 Jun 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 77 473 0 11 Nov 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 231 8,113 0 16 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015