16 citations · 32 across the 10 of their papers we have counts for
4 papers · 1 filter
LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
Abhinav Kumar, George Torres, Noah Guzinski +6
The privacy vulnerabilities of the federated learning (FL) paradigm, primarily caused by gradient leakage, have prompted the development of various defensive measures. Nonetheless,…
DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMs
Zhen Guo, Shanghao Shi, Shamim Yazdani +2
With the rapid rise of personalized AI, customized large language models (LLMs) equipped with Chain of Thought (COT) reasoning now power millions of AI agents. However, their compl…
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference
Abhinav Kumar, Miguel A. Guirao Aguilera, Reza Tourani +1
The growing popularity of Machine Learning (ML) has led to its deployment in various sensitive domains, which has resulted in significant research focused on ML security and privac…
DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding
Spyridon Mastorakis, Xin Zhong, Pei-Chi Huang +1
The onboarding of IoT devices by authorized users constitutes both a challenge and a necessity in a world, where the number of IoT devices and the tampering attacks against them co…