Search Results for author: Shubhranshu Singh

Found 2 papers, 1 papers with code

Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning

no code implementations • 17 Oct 2023 • Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

Our research, initially spurred by test-time evasion attacks, investigates the intersection of adversarial training and backdoor attacks within federated learning, introducing Adversarial Robustness Unhardening (ARU).

Adversarial Robustness Federated Learning

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Characterizing Internal Evasion Attacks in Federated Learning

1 code implementation • 17 Sep 2022 • Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

However, combining adversarial training with personalized federated learning frameworks increases relative internal attack robustness by 60% compared to federated adversarial training and performs well under limited system resources.

Adversarial Robustness Personalized Federated Learning +1

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