Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Authors: Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis | Published: 2021-01-04 | Updated: 2021-03-29
深層学習手法
CorrAttack: Black-box Adversarial Attack with Structured Search
Authors: Zhichao Huang, Yaowei Huang, Tong Zhang | Published: 2020-10-03
Query complexity of adversarial attacks
Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2020-10-02 | Updated: 2021-02-10
Deep learning for time series classification
Authors: Hassan Ismail Fawaz | Published: 2020-10-01
Multiple Classification with Split Learning
Authors: Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee | Published: 2020-08-22 | Updated: 2020-09-11
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Authors: Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu | Published: 2020-08-19 | Updated: 2021-08-20
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Authors: Sina Däubener, Asja Fischer | Published: 2020-08-07 | Updated: 2020-08-17
Network Moments: Extensions and Sparse-Smooth Attacks
Authors: Modar Alfadly, Adel Bibi, Emilio Botero, Salman Alsubaihi, Bernard Ghanem | Published: 2020-06-21
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
Authors: I. Fursov, A. Zaytsev, N. Kluchnikov, A. Kravchenko, E. Burnaev | Published: 2020-06-19
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18