6 papers
Understanding Semantic Perturbations on In-Processing Generative Image Watermarks
Anirudh Nakra, Min Wu
The widespread deployment of high-fidelity generative models has intensified the need for reliable mechanisms for provenance and content authentication. In-processing watermarking,…
Position: 3D Gaussian Splatting Watermarking Should Be Scenario-Driven and Threat-Model Explicit
Yangfan Deng, Anirudh Nakra, Min Wu
3D content acquisition and creation are expanding rapidly in the new era of machine learning and AI. 3D Gaussian Splatting (3DGS) has become a promising high-fidelity and real-time…
Exposing Vulnerabilities in Counterfeit Prevention Systems Utilizing Physically Unclonable Surface Features
Anirudh Nakra, Nayeeb Rashid, Chau-Wai Wong +1
Counterfeit products pose significant risks to public health and safety through infiltrating untrusted supply chains. Among numerous anti-counterfeiting techniques, leveraging inhe…
MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
Zachary McBride Lazri, Anirudh Nakra, Ivan Brugere +5
Algorithmic fairness is often studied in static or single-agent settings, yet many real-world decision-making systems involve multiple interacting entities whose multi-stage action…
Chip-Surface Based Visual Authentication for Integrated Circuits
Runze Liu, Prasun Datta, Anirudh Nakra +2
The rapid development of the semiconductor industry and the ubiquity of electronic devices have led to a significant increase in the counterfeiting of integrated circuits (ICs). Th…
SoK: Fighting Counterfeits with Cyber-Physical Synergy Based on Physically-Unclonable Identifiers of Paper Surface
Anirudh Nakra, Min Wu, Chau-Wai Wong
Counterfeit products cause severe harm to public safety and health by penetrating untrusted supply chains. Numerous anti-counterfeiting techniques have been proposed, among which t…