Tag: adversarial-ml (2 references)
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Comprehensive survey systematically categorizing dataset vulnerabilities including poisoning and backdoor attacks, their threat models, and defense mechanisms.
Poisoning Attacks against Support Vector Machines
Investigates poisoning attacks against SVMs where adversaries inject crafted training data to increase test error. Uses gradient ascent to construct malicious data points.