machine learning security

Alimama Tech

Sep 20, 2023 · Artificial Intelligence

Exploring Model Dynamics for Accumulative Poisoning Detection

The paper, a joint effort by Alibaba Mama and HKBU TMLR, shows that monitoring model dynamics—specifically a newly defined memorization‑discrepancy metric—can reveal hidden accumulative poisoning attacks in online advertising streams, and introduces a discrepancy‑aware correction algorithm that consistently outperforms existing defenses across benchmark datasets.

defense algorithmsmachine learning securitymodel dynamics

0 likes · 13 min read

Exploring Model Dynamics for Accumulative Poisoning Detection

AntTech

Oct 31, 2022 · Artificial Intelligence

Automated Attacker A² for Enhancing Model Robustness in Adversarial Training

The paper presents A², an automated, parameterized attacker that dynamically adjusts perturbation methods and step sizes during adversarial training, demonstrating improved robustness across multiple benchmarks with modest computational overhead, and outlines future directions for further efficiency and effectiveness in secure AI systems.

NeurIPSadversarial trainingautomated attacker

0 likes · 9 min read

Automated Attacker A² for Enhancing Model Robustness in Adversarial Training