16 citations · 32 across the 10 of their papers we have counts for
12 papers
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…
Persistent Backdoor Attacks in Continual Learning
Zhen Guo, Abhinav Kumar, Reza Tourani
Backdoor attacks pose a significant threat to neural networks, enabling adversaries to manipulate model outputs on specific inputs, often with devastating consequences, especially…
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning
Nexhi Sula, Abhinav Kumar, Jie Hou +2
With the continued advancement and widespread adoption of machine learning (ML) models across various domains, ensuring user privacy and data security has become a paramount concer…
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability
Chenxi Li, Abhinav Kumar, Zhen Guo +2
The increasing prominence of deep learning applications and reliance on personalized data underscore the urgent need to address privacy vulnerabilities, particularly Membership Inf…
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…
Harpocrates: Anonymous Data Publication in Named Data Networking
Md Washik Al Azad, Reza Tourani, Abderrahmen Mtibaa +1
Named-Data Networking (NDN), a prominent realization of the Information-Centric Networking (ICN) vision, offers a request-response communication model where data is identified base…
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…
Democratizing the Edge: A Pervasive Edge Computing Framework
Reza Tourani, Srikathyayani Srikanteswara, Satyajayant Misra +4
The needs of emerging applications, such as augmented and virtual reality, federated machine learning, and autonomous driving, have motivated edge computing--the push of computatio…
LASeR: Lightweight Authentication and Secured Routing for NDN IoT in Smart Cities
Travis Mick, Reza Tourani, Satyajayant Misra
Recent literature suggests that the Internet of Things (IoT) scales much better in an Information-Centric Networking (ICN) model instead of the current host-centric Internet Protoc…
AccConF: An Access Control Framework for Leveraging In-Network Cached Data in ICNs
S. Misra, R. Tourani, F. Natividad +3
The fast-growing Internet traffic is increasingly becoming content-based and driven by mobile users, with users more interested in data rather than its source. This has precipitate…
Security, Privacy, and Access Control in Information-Centric Networking: A Survey
Reza Tourani, Travis Mick, Satyajayant Misra +1
Information-Centric Networking (ICN) is a new networking paradigm, which replaces the widely used host-centric networking paradigm in communication networks (e.g., Internet, mobile…