Black-box Adversarial Attacks with Bayesian Optimization
Authors: Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter | Published: 2019-09-30
Universal Approximation with Certified Networks
Authors: Maximilian Baader, Matthew Mirman, Martin Vechev | Published: 2019-09-30 | Updated: 2020-01-14
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17
Decision Explanation and Feature Importance for Invertible Networks
Authors: Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan | Published: 2019-09-30 | Updated: 2019-10-15
Deep k-NN Defense against Clean-label Data Poisoning Attacks
Authors: Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson | Published: 2019-09-29 | Updated: 2020-08-13
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2019-09-27 | Updated: 2020-07-06
Alleviating Privacy Attacks via Causal Learning
Authors: Shruti Tople, Amit Sharma, Aditya Nori | Published: 2019-09-27 | Updated: 2020-07-17
A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things
Authors: Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, H. Eugene Stanley | Published: 2019-09-26 | Updated: 2021-03-02
Lower Bounds on Adversarial Robustness from Optimal Transport
Authors: Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal | Published: 2019-09-26 | Updated: 2019-10-30
GAMIN: An Adversarial Approach to Black-Box Model Inversion
Authors: Ulrich Aïvodji, Sébastien Gambs, Timon Ther | Published: 2019-09-26