An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
Authors: Arash Rahnama, Andrew Tseng | Published: 2020-05-20 | Updated: 2020-09-28
Graph Structure Learning for Robust Graph Neural Networks
Authors: Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang | Published: 2020-05-20 | Updated: 2020-06-27
Identifying Statistical Bias in Dataset Replication
Authors: Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry | Published: 2020-05-19 | Updated: 2020-09-02
Continuous LWE
Authors: Joan Bruna, Oded Regev, Min Jae Song, Yi Tang | Published: 2020-05-19 | Updated: 2020-10-24
Scalable Privacy-Preserving Distributed Learning
Authors: David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux | Published: 2020-05-19 | Updated: 2021-07-14
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Authors: Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong | Published: 2020-05-19 | Updated: 2021-02-23
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
FrameProv: Towards End-To-End Video Provenance
Authors: Mansoor Ahmed-Rengers | Published: 2020-05-19
On Intrinsic Dataset Properties for Adversarial Machine Learning
Authors: Jeffrey Z. Pan, Nicholas Zufelt | Published: 2020-05-19
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Authors: Arpita Patra, Ajith Suresh | Published: 2020-05-18