Improvement of Learning

A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks

Authors: Maria Grammatopoulou, Aris Kanellopoulos, Kyriakos G. ~Vamvoudakis, Nathan Lau | Published: 2020-06-06
Algorithm
Risk Management
Improvement of Learning

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers

Authors: Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli | Published: 2020-06-06 | Updated: 2021-12-29
Improvement of Learning
Adversarial Attack Detection
Challenges of Generative Models

Towards Understanding Fast Adversarial Training

Authors: Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin | Published: 2020-06-04
Improvement of Learning
Adversarial Example
Adversarial Attack Detection

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization

Authors: Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler | Published: 2020-06-02 | Updated: 2020-06-29
Algorithm
Sparse Model
Improvement of Learning

Online Robustness Training for Deep Reinforcement Learning

Authors: Marc Fischer, Matthew Mirman, Steven Stalder, Martin Vechev | Published: 2019-11-03 | Updated: 2019-11-22
Poisoning
Improvement of Learning
Knowledge Distillation

Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?

Authors: Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein | Published: 2019-10-25
Poisoning
Improvement of Learning
Adversarial Example

A Note on Our Submission to Track 4 of iDASH 2019

Authors: Marcel Keller, Ke Sun | Published: 2019-10-24
Improvement of Learning
Evaluation Method
evaluation metrics

Adversarial Robustness Against the Union of Multiple Perturbation Models

Authors: Pratyush Maini, Eric Wong, J. Zico Kolter | Published: 2019-09-09 | Updated: 2020-07-28
Efficient Resolution of Learning Tasks
Improvement of Learning
Adversarial Training

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Authors: Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli | Published: 2019-09-03 | Updated: 2019-12-20
Improvement of Learning
Adversarial Example
Vulnerability of Adversarial Examples

Metric Learning for Adversarial Robustness

Authors: Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray | Published: 2019-09-03 | Updated: 2019-10-28
Poisoning
Improvement of Learning
Vulnerability of Adversarial Examples