Author

Shamim Yazdani

2 papers indexed here

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Conference Sep 2026

Mitigating Gradient Leakage in Asynchronous Federated Learning via Orthogonal Obfuscation

The Federated Learning (FL) paradigm, while promising for decentralized training, remains susceptible to privacy breaches via gradient leakage. While numerous defenses have been established for synchronous systems, these mechanisms often rely on batched aggregation to mask individual contributions, a property absent in...

Shamim Yazdani, Noah Guzinski, George Torres et al. · IEEE Conference on Communica... · 0 citations

Preprint Sep 2026

MechAudit-40: White-Box Auditing across 40 LLM Attack Mechanisms

Internal representations thus support cross-mechanism attack-exposure auditing against calibrated benign references, but decouple from downstream task compromise and parameter integrity, according to downstream task compromise and parameter integrity.

Zhen Guo, Shang-Hao Shi, Shamim Yazdani et al. · 0 citations