activity
20242026
most citedFuzzing Frameworks for Server-side Web Applications: A Survey

11 citations · 12 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Walking the Embedding Space: Datastore Extraction from Multimodal RAG

Maria Carmen Jica, Ali Satvaty, Suzan Verberne +1

Multimodal Retrieval-Augmented Generation (MRAG) has emerged as a reliable and cost-effective technique of grounding the generative capabilities of Multimodal Large Language Models…

cs.SE2026

TraceLib: System-Call Bitmap Feedback Mechanism for Language-Agnostic Web Fuzzing

I Putu Arya Dharmaadi, Elias Athanasopoulos, Fatih Turkmen

Coverage feedback is an important source of guidance for fuzzing. However, obtaining such feedback normally requires application-level instrumentation that is specific to the langu…

cs.CR2026

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,…

cs.LG2025

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…

cs.CR2025

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…

cs.CL2024★ 1 cited

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…

cs.SE2024★ 11 cited

Fuzzing Frameworks for Server-side Web Applications: A Survey

I Putu Arya Dharmaadi, Elias Athanasopoulos, Fatih Turkmen

There are around 5.3 billion Internet users, amounting to 65.7% of the global population, and web technology is the backbone of the services delivered via the Internet. To ensure w…