CrypTen: Secure Multi-Party Computation Meets Machine Learning

2 September 2021

L. V. D. van der Maaten

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Papers citing "CrypTen: Secure Multi-Party Computation Meets Machine Learning"

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Title
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Mohammad Maheri Hamed Haddadi Alex Davidson 74 0 0 27 Apr 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning Wenqiang Ruan Xin Lin Ruisheng Zhou Guopeng Lin Shui Yu Weili Han 45 0 0 16 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 43 0 0 09 Feb 2025
SMT-Boosted Security Types for Low-Level MPC Christian Skalka Joseph P. Near 167 0 0 29 Jan 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Yongming Fan Rui Zhu Zihao Wang Chenghong Wang Haixu Tang Ye Dong Hyunghoon Cho Lucila Ohno-Machado 43 0 0 12 Jan 2025
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 87 1 0 09 Oct 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 148 1 0 27 Aug 2024
MapComp: A Secure View-based Collaborative Analytics Framework for Join-Group-Aggregation Li Dong Feng Han Feibo Jiang Weiran Liu Zheng Yan ... Xinyuan Zhang Guoxing Wei Xiaolong Li Jinfei Liu Lin Qu 78 1 0 02 Aug 2024
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets Ahmed Frikha Nassim Walha Ricardo Mendes K. K. Nakka Xue Jiang Xuebing Zhou 74 2 0 03 Jul 2024
Privacy in Cloud Computing through Immersion-based Coding H. Hayati N. van de Wouw C. Murguia 27 1 0 07 Mar 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 47 0 0 17 Dec 2023
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks Yongqin Wang Pratik Sarkar Nishat Koti A. Patra Murali Annavaram 24 2 0 08 Nov 2023
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Naresh Boddeti AAML 33 18 0 12 Oct 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 47 38 0 20 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions Abdulrahman Diaa L. Fenaux Thomas Humphries Marian Dietz Faezeh Ebrahimianghazani ... Nils Lukas Rasoul Akhavan Mahdavi Simon Oya Ehsan Amjadian Florian Kerschbaum 19 6 0 14 Jun 2023
Considerations on the Theory of Training Models with Differential Privacy Marten van Dijk Phuong Ha Nguyen FedML 10 2 0 08 Mar 2023
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task Yuanqing Feng Tao Bai Song Lu Xueming Tang Junjun Wu 8 1 0 01 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Balancing Privacy Protection and Interpretability in Federated Learning Zhe Li Honglong Chen Zhichen Ni Huajie Shao FedML 16 8 0 16 Feb 2023
Private Multiparty Perception for Navigation Hui Lu Mia Chiquier Carl Vondrick EgoV 33 0 0 02 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning Pengyu Qiu Xuhong Zhang S. Ji Chong Fu Xing Yang Ting Wang FedML AAML 30 12 0 01 Dec 2022
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 24 20 0 25 Nov 2022
MPCFormer: fast, performant and private Transformer inference with MPC Dacheng Li Rulin Shao Hongyi Wang Han Guo Eric P. Xing Haotong Zhang 13 79 0 02 Nov 2022
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms Xiaoyu Fan Kun Chen Guosai Wang Mingchun Zhuang Yi Li Wei-ping Xu 22 11 0 18 Oct 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 59 5 0 26 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy Wenqiang Ruan Ming Xu Wenjing Fang Li Wang Lei Wang Wei Han 37 12 0 18 Aug 2022
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection Yingting Liu Chaochao Chen Jamie Cui L. xilinx Wang Lei Wang 24 0 0 12 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 27 2 0 01 Aug 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 32 8 0 21 Jul 2022
FLVoogd: Robust And Privacy Preserving Federated Learning Yuhang Tian Rui Wang Yan Qiao E. Panaousis K. Liang FedML 28 4 0 24 Jun 2022
Secure Aggregation for Federated Learning in Flower Kwing Hei Li Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane FedML 16 36 0 12 May 2022
CECILIA: Comprehensive Secure Machine Learning Framework Ali Burak Ünal Nícolas Pfeifer Mete Akgun 27 2 0 07 Feb 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning Yansong Gao Qun Li Yifeng Zheng Guohong Wang Jiannan Wei Mang Su 32 3 0 26 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
Might I Get Pwned: A Second Generation Compromised Credential Checking Service Bijeeta Pal Mazharul Islam M. Bohuk N. Sullivan Luke Valenta Tara Whalen Christopher A. Wood Thomas Ristenpart Rahul Chatterjee 24 26 0 29 Sep 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Increasing Adversarial Uncertainty to Scale Private Similarity Testing Yiqing Hua Armin Namavari Kai-Wen Cheng Mor Naaman Thomas Ristenpart 19 4 0 03 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
Towards Industrial Private AI: A two-tier framework for data and model security Sunder Ali Khowaja K. Dev N. Qureshi P. Khuwaja L. Foschini FedML 16 5 0 27 Jul 2021
Secure Quantized Training for Deep Learning Marcel Keller Ke Sun MQ 24 65 0 01 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 274 2,606 0 04 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 57 183 0 22 Apr 2021
Data Appraisal Without Data Sharing Mimee Xu L. V. D. van der Maaten Awni Y. Hannun TDI 39 6 0 11 Dec 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016