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
Machine Learning
On Primes, Log-Loss Scores and (No) Privacy
Authors: Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier | Published: 2020-09-17
An Extension of Fano’s Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Authors: Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami | Published: 2020-09-17
The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services
Authors: Ahmed Mohamed Hussain, Gabriele Oligeri, Thiemo Voigt | Published: 2020-09-16 | Updated: 2021-07-25
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Authors: Jang-Hyun Kim, Wonho Choo, Hyun Oh Song | Published: 2020-09-15 | Updated: 2020-12-30
Efficient Private Machine Learning by Differentiable Random Transformations
Authors: Fei Zheng | Published: 2020-08-18
New Directions in Automated Traffic Analysis
Authors: Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal | Published: 2020-08-06 | Updated: 2021-10-19
Training DNN Model with Secret Key for Model Protection
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Authors: MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami | Published: 2020-08-05
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05