Bridging the Gap Between Adversarial Robustness and Optimization Bias
Authors: Fartash Faghri, Sven Gowal, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux | Published: 2021-02-17 | Updated: 2021-06-07
Model Architecture
Certifiably Robust Variational Autoencoders
Authors: Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth | Published: 2021-02-15 | Updated: 2022-04-23
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Authors: Jan Hendrik Metzen, Maksym Yatsura | Published: 2021-02-08
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
Authors: Younghoo Lee, Joshua Saxe, Richard Harang | Published: 2020-10-07
Deep learning for time series classification
Authors: Hassan Ismail Fawaz | Published: 2020-10-01
Bag of Tricks for Adversarial Training
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu | Published: 2020-10-01 | Updated: 2021-03-31
Secure Evaluation of Quantized Neural Networks
Authors: Anders Dalskov, Daniel Escudero, Marcel Keller | Published: 2019-10-28 | Updated: 2021-03-01
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Authors: Chani Jindal, Christopher Salls, Hojjat Aghakhani, Keith Long, Christopher Kruegel, Giovanni Vigna | Published: 2019-10-24
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Authors: Vassilis N. Ioannidis, Georgios B. Giannakis | Published: 2019-10-21
Deep Learning in Information Security
Authors: Stefan Thaler, Vlado Menkovski, Milan Petkovic | Published: 2018-09-12