Pre-trained Encoders in Self-Supervised Learning Improve Secure and
Privacy-preserving Supervised Learning

Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning

6 December 2022

Wenjie Qu

Neil Zhenqiang Gong

Papers citing "Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning"

5 / 5 papers shown

Title
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models Hongbin Liu Lun Wang Om Thakkar Abhradeep Thakurta Arun Narayanan 26 0 0 02 Oct 2024
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 144 348 0 25 Sep 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 144 68 0 04 May 2021
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 81 82 0 09 Feb 2020
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 931 0 21 Oct 2016