Machine Learning Security against Data Poisoning: Are We There Yet?
Authors: Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo | Published: 2022-04-12 | Updated: 2024-03-08
Defense Method
Breaking the De-Pois Poisoning Defense
Authors: Alaa Anani, Mohamed Ghanem, Lotfy Abdel Khaliq | Published: 2022-04-03
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
Authors: Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran | Published: 2022-03-25
Email Summarization to Assist Users in Phishing Identification
Authors: Amir Kashapov, Tingmin Wu, Alsharif Abuadbba, Carsten Rudolph | Published: 2022-03-24
MERLIN — Malware Evasion with Reinforcement LearnINg
Authors: Tony Quertier, Benjamin Marais, Stéphane Morucci, Bertrand Fournel | Published: 2022-03-24 | Updated: 2022-03-30
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing
Authors: Onat Gungor, Tajana Rosing, Baris Aksanli | Published: 2022-03-14
One Parameter Defense — Defending against Data Inference Attacks via Differential Privacy
Authors: Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou | Published: 2022-03-13
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
Authors: Anirudh Yadav, Ashutosh Upadhyay, S. Sharanya | Published: 2022-03-11
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Authors: Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu | Published: 2022-03-08
Adversarial Patterns: Building Robust Android Malware Classifiers
Authors: Dipkamal Bhusal, Nidhi Rastogi | Published: 2022-03-04 | Updated: 2024-04-12