4 papers
Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey
Pablo Sorrentino, Stjepan Picek, Ihsen Alouani +5
Neuromorphic computing mimics brain-inspired mechanisms through spiking neurons and energy-efficient processing, offering a pathway to efficient in-memory computing (IMC). However,…
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty, Suzan Verberne, Fatih Turkmen
While recent research increasingly showcases the remarkable capabilities of Large Language Models (LLMs), it is equally crucial to examine their associated risks. Among these, priv…
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
Ali Satvaty, Suzan Verberne, Fatih Turkmen
Membership inference attacks (MIA) aim to infer whether a particular data point is part of the training dataset of a model. In this paper, we propose a new task in the context of L…
BACFuzz: Exposing the Silence on Broken Access Control Vulnerabilities in Web Applications
I Putu Arya Dharmaadi, Mohannad Alhanahnah, Van-Thuan Pham +2
Broken Access Control (BAC) remains one of the most critical and widespread vulnerabilities in web applications, allowing attackers to access unauthorized resources or perform priv…