DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware

30 June 2022

Papers citing "DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware"

25 / 25 papers shown

Title
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 37 2 0 15 Nov 2024
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads Aritra Dhar Clément Thorens Lara Magdalena Lazier Lukas Cavigelli 41 1 0 16 Jul 2024
AuthNet: Neural Network with Integrated Authentication Logic Yuling Cai Fan Xiang Guozhu Meng Yinzhi Cao Kai Chen AAML 46 0 0 24 May 2024
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment Qinfeng Li Zhiqiang Shen Zhenghan Qin Yangfan Xie Xuhong Zhang Tianyu Du Jianwei Yin 27 8 0 17 Apr 2024
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices Xueshuo Xie Haoxu Wang Zhaolong Jian Tao Li Wei Wang Zhiwei Xu Gui-Ping Wang 36 2 0 19 Mar 2024
Edge Private Graph Neural Networks with Singular Value Perturbation Tingting Tang Yue Niu A. Avestimehr Murali Annavaram AAML 24 1 0 16 Mar 2024
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training Rongwu Xu Zhixuan Fang FedML 16 0 0 21 Jan 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 23 2 0 05 Dec 2023
SparseLock: Securing Neural Network Models in Deep Learning Accelerators Nivedita Shrivastava S. Sarangi AAML 25 1 0 05 Nov 2023
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 37 16 0 11 Oct 2023
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference Abhinav Kumar Miguel A. Guirao Aguilera R. Tourani S. Misra AAML 19 0 0 31 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng T. Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 11 0 0 22 Mar 2023
A Survey of Secure Computation Using Trusted Execution Environments Xiaoguo Li Bowen Zhao Guomin Yang Tao Xiang J. Weng R. Deng 11 9 0 23 Feb 2023
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 24 12 0 20 Oct 2022
DiVa: An Accelerator for Differentially Private Machine Learning Beom-Joo Park Ranggi Hwang Dongho Yoon Yoonhyuk Choi Minsoo Rhu 6 8 0 26 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Carmela Troncoso Jean-Pierre Hubaux 19 19 0 28 Jul 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 39 8 0 14 Jun 2022
Seculator: A Fast and Secure Neural Processing Unit Nivedita Shrivastava S. Sarangi AAML 16 3 0 19 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 21 22 0 07 Apr 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 21 3 0 04 Nov 2021
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 44 17 0 04 Oct 2021
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning Ting-long Tang Ramy E. Ali H. Hashemi Tynan Gangwani A. Avestimehr M. Annavaram 36 13 0 27 Jul 2021
Secure and Fault Tolerant Decentralized Learning Saurav Prakash H. Hashemi Yongqin Wang M. Annavaram Salman Avestimehr FedML 16 10 0 15 Oct 2020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 136 420 0 29 Nov 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018