activity
20212024
most citedThe Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption

21 citations · 36 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CR2024

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models

Zihao Xu, Yi Liu, Gelei Deng +4

Security concerns for large language models (LLMs) have recently escalated, focusing on thwarting jailbreaking attempts in discrete prompts. However, the exploration of jailbreak v…

cs.CR202421 cited

The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption

Tianyang Chen, Peng Xu, Stjepan Picek +4

Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without los…

cs.NE2024

A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes

Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic +2

Boolean functions are mathematical objects used in diverse applications. Different applications also have different requirements, making the research on Boolean functions very acti…

cs.CR20241 cited

Time-Distributed Backdoor Attacks on Federated Spiking Learning

Gorka Abad, Stjepan Picek, Aitor Urbieta

This paper investigates the vulnerability of spiking neural networks (SNNs) and federated learning (FL) to backdoor attacks using neuromorphic data. Despite the efficiency of SNNs…

cs.LG20231 cited

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks

Yang Chen, Stjepan Picek, Zhonglin Ye +2

Hypergraph Neural Networks (HGNNs) have been successfully applied in various hypergraph-related tasks due to their excellent higher-order representation capabilities. Recent works…

cs.CR20231 cited

Invisible Threats: Backdoor Attack in OCR Systems

Mauro Conti, Nicola Farronato, Stefanos Koffas +2

Optical Character Recognition (OCR) is a widely used tool to extract text from scanned documents. Today, the state-of-the-art is achieved by exploiting deep neural networks. Howeve…