Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach
Authors: Hu Ding, Fan Yang, Jiawei Huang | Published: 2020-06-14 | Updated: 2021-02-20
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Defensive Approximation: Securing CNNs using Approximate Computing
Authors: Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh | Published: 2020-06-13 | Updated: 2021-07-29
Rethinking Clustering for Robustness
Authors: Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem | Published: 2020-06-13 | Updated: 2021-11-19
Adversarial Self-Supervised Contrastive Learning
Authors: Minseon Kim, Jihoon Tack, Sung Ju Hwang | Published: 2020-06-13 | Updated: 2020-10-26
Leakage of Dataset Properties in Multi-Party Machine Learning
Authors: Wanrong Zhang, Shruti Tople, Olga Ohrimenko | Published: 2020-06-12 | Updated: 2021-06-17
Backdoor Attacks on Federated Meta-Learning
Authors: Chien-Lun Chen, Leana Golubchik, Marco Paolieri | Published: 2020-06-12 | Updated: 2020-12-16
Provably Robust Metric Learning
Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
Robustness to Adversarial Attacks in Learning-Enabled Controllers
Authors: Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan | Published: 2020-06-11
Backdoors in Neural Models of Source Code
Authors: Goutham Ramakrishnan, Aws Albarghouthi | Published: 2020-06-11
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
Authors: Richard Y. Zhang | Published: 2020-06-11 | Updated: 2020-10-26