On Universalized Adversarial and Invariant Perturbations
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Authors: Qian Lou, Song Bian, Lei Jiang | Published: 2020-06-07 | Updated: 2020-10-15
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
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
Sponge Examples: Energy-Latency Attacks on Neural Networks
Authors: Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson | Published: 2020-06-05 | Updated: 2021-05-12
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Authors: Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen | Published: 2020-06-05 | Updated: 2022-05-08
Towards Understanding Fast Adversarial Training
Authors: Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin | Published: 2020-06-04
Characterizing the Weight Space for Different Learning Models
Authors: Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao | Published: 2020-06-04
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
Authors: Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin | Published: 2020-06-02 | Updated: 2020-09-15