75 citations · 90 across the 8 of their papers we have counts for
8 papers
Using Large Language Models for Cybersecurity Capture-The-Flag Challenges and Certification Questions
Wesley Tann, Yuancheng Liu, Jun Heng Sim +2
The assessment of cybersecurity Capture-The-Flag (CTF) exercises involves participants finding text strings or ``flags'' by exploiting system vulnerabilities. Large Language Models…
Projecting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach
Wesley Joon-Wie Tann, Akhil Vuputuri, Ee-Chien Chang
Non-fungible tokens (NFTs) are digital assets stored on a blockchain representing real-world objects such as art or collectibles. An NFT collection comprises numerous tokens; each…
Quantum Remote Entanglement for Medium-Free Secure Communication?
Wesley Joon-Wie Tann
Present-day quantum communication predominantly depends on trusted relays (e.g., quantum repeaters, low-Earth-orbit satellite) connected by optical fiber cables to transmit informa…
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
Jiyi Zhang, Han Fang, Wesley Joon-Wie Tann +3
Machine learning models are vulnerable to adversarial attacks. In this paper, we consider the scenario where a model is distributed to multiple buyers, among which a malicious buye…
Poisoning Online Learning Filters: DDoS Attacks and Countermeasures
Wesley Joon-Wie Tann, Ee-Chien Chang
The recent advancements in machine learning have led to a wave of interest in adopting online learning-based approaches for long-standing attack mitigation issues. In particular, D…
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning
Wesley Joon-Wie Tann, Jackie Tan Jin Wei, Joanna Purba +1
DDoS attacks are simple, effective, and still pose a significant threat even after more than two decades. Given the recent success in machine learning, it is interesting to investi…
SHADOWCAST: Controllable Graph Generation
Wesley Joon-Wie Tann, Ee-Chien Chang, Bryan Hooi
We introduce the controllable graph generation problem, formulated as controlling graph attributes during the generative process to produce desired graphs with understandable struc…
Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats
Wesley Joon-Wie Tann, Xing Jie Han, Sourav Sen Gupta +1
Symbolic analysis of security exploits in smart contracts has demonstrated to be valuable for analyzing predefined vulnerability properties. While some symbolic tools perform compl…