Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi | Published: 2020-10-13
機械学習
Toward Few-step Adversarial Training from a Frequency Perspective
Authors: Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin | Published: 2020-10-13
S3ML: A Secure Serving System for Machine Learning Inference
Authors: Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao | Published: 2020-10-13
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
Authors: Younghoo Lee, Joshua Saxe, Richard Harang | Published: 2020-10-07
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Authors: Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2020-10-06 | Updated: 2020-10-08
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
Authors: Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang | Published: 2020-10-06
Metadata-Based Detection of Child Sexual Abuse Material
Authors: Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown | Published: 2020-10-05 | Updated: 2021-10-27
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Authors: Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li | Published: 2020-09-18 | Updated: 2020-10-13
On Primes, Log-Loss Scores and (No) Privacy
Authors: Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier | Published: 2020-09-17