28 citations · 57 across the 7 of their papers we have counts for
7 papers
The HyperFrog Cryptosystem: High-Genus Voxel Topology as a Trapdoor for Post-Quantum KEMs
Victor Duarte Melo
HyperFrog is an experimental post-quantum Key Encapsulation Mechanism that explores a variant of the Learning With Errors (LWE) design space in which the secret is not sampled from…
ConceptCoder: Improve Code Reasoning via Concept Learning
Md Mahbubur Rahman, Hengbo Tong, Wei Le
Large language models (LLMs) have shown promising results for software engineering applications, but still struggle with code reasoning tasks such as vulnerability detection (VD).…
Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms
Md Minhazul Islam Munna, Md Mahbubur Rahman, Jaroslav Frnda +2
The proliferation of IoT devices and their reliance on Wi-Fi networks have introduced significant security vulnerabilities, particularly the KRACK and Kr00k attacks, which exploit…
InstructNet: A Novel Approach for Multi-Label Instruction Classification through Advanced Deep Learning
Tanjim Taharat Aurpa, Md Shoaib Ahmed, Md Mahbubur Rahman +1
People use search engines for various topics and items, from daily essentials to more aspirational and specialized objects. Therefore, search engines have taken over as peoples pre…
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy +5
In this paper, we present a challenging code reasoning task: vulnerability detection. Large Language Models (LLMs) have shown promising results in natural-language and math reasoni…
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection
Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin +1
Recently, pretrained language models have shown state-of-the-art performance on the vulnerability detection task. These models are pretrained on a large corpus of source code, then…
Towards Causal Deep Learning for Vulnerability Detection
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao +3
Deep learning vulnerability detection has shown promising results in recent years. However, an important challenge that still blocks it from being very useful in practice is that t…