14 citations · 14 across the 4 of their papers we have counts for
4 papers
From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based Neutralization
Farah Wahida, M. A. P. Chamikara, Yashothara Shanmugarasa +3
Biometric systems, such as face recognition systems powered by deep neural networks (DNNs), rely on large and highly sensitive datasets. Backdoor attacks can subvert these systems…
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation
Yashothara Shanmugarasa, Ming Ding, M. A. P Chamikara +1
Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer signific…
Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science
Yashothara Shanmugarasa, Shidong Pan, Ming Ding +2
As Large Language Models (LLMs) become integral to scientific workflows, concerns over the confidentiality and ethical handling of confidential data have emerged. This paper explor…
Local Differential Privacy for Smart Meter Data Sharing
Yashothara Shanmugarasa, M. A. P. Chamikara, Hye-young Paik +2
Energy disaggregation techniques, which use smart meter data to infer appliance energy usage, can provide consumers and energy companies valuable insights into energy management. H…