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Home/Authors/Damon L. Woodard

Damon L. Woodard

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2

Frequent co-authors

Gijung Lee2×
Wavid Bowman2×
Olivia P. Dizon-Paradis2×
Reiner N. Dizon-Paradis2×
Ronald Wilson2×
Domenic Forte2×

Research Timeline

2026
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction

The paper introduces DECIFR, a novel two-stage Membership Inference Attack (MIA) that exploits standard cell library layouts to reconstruct sensitive IC training data from intercepted federated model updates, demonstrating a critical privacy vulnerability in standard Federated Learning.

A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance

This paper presents a novel data-free Membership Inference Attack (MIA) that uses gradient inversion on Standard Cell Library Layouts (SCLLs) to reconstruct sensitive hardware images from intercepted Federated Learning model updates, demonstrating significant IP leakage.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentApr 21, 2026

DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction

Gijung Lee, Wavid Bowman, Olivia P. Dizon-Paradis, Reiner N. Dizon-Paradis +3 more

The paper introduces DECIFR, a novel two-stage Membership Inference Attack (MIA) that exploits standard cell library layouts to reconstruct sensitive IC training data from intercepted federated model…

View →
cs.CRRecentApr 21, 2026

A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance

Gijung Lee, Wavid Bowman, Olivia P. Dizon-Paradis, Reiner N. Dizon-Paradis +3 more

This paper presents a novel data-free Membership Inference Attack (MIA) that uses gradient inversion on Standard Cell Library Layouts (SCLLs) to reconstruct sensitive hardware images from intercepted…

View →