New Secure Sparse Inner Product with Applications to Machine Learning
Authors: Guowen Xu, Shengmin Xu, Jianting Ning, Tianwei Zhang, Xinyi Huang, Hongwei Li, Rongxing Lu | Published: 2022-10-16
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VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
Authors: Guowen Xu, Xingshuo Han, Gelei Deng, Tianwei Zhang, Shengmin Xu, Jianting Ning, Anjia Yang, Hongwei Li | Published: 2022-10-16
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Authors: Naif Alkhunaizi, Dmitry Kamzolov, Martin Takáč, Karthik Nandakumar | Published: 2022-07-15
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Authors: Mantas Mazeika, Bo Li, David Forsyth | Published: 2022-06-28
Parallel Instance Filtering for Malware Detection
Authors: Martin Jureček, Olha Jurečková | Published: 2022-06-28
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Authors: Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle | Published: 2022-04-28 | Updated: 2022-06-16
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Authors: Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten | Published: 2021-09-02 | Updated: 2022-09-15
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Authors: Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydin Aysu | Published: 2021-09-01
OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations
Authors: Pengcheng Jiang, Kenji Tei | Published: 2021-08-16 | Updated: 2021-11-02
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
Authors: Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen | Published: 2021-07-08 | Updated: 2021-07-30