Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities. - Wesley Joon-Wie Tann; Xing Jie Han; Sourav Sen Gupta 001; Yew-Soon Ong (CoRR, 2018)

SHADOWCAST: Controlling Network Properties to Explain Graph Generation. - Wesley Joon-Wie Tann; Ee-Chien Chang; Bryan Hooi (CoRR, 2020)

Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning. - Wesley Joon-Wie Tann; Jackie Tan Jin Wei; Joanna Purba; Ee-Chien Chang (AsiaCCS, 2021)

Common Component in Black-Boxes Is Prone to Attacks. - Jiyi Zhang; Wesley Joon-Wie Tann; Ee-Chien Chang; Hwee Kuan Lee (ESORICS (1), 2021)

Poisoning of Online Learning Filters: DDoS Attacks and Countermeasures. - Wesley Joon-Wie Tann; Ee-Chien Chang (CoRR, 2021)

Mitigating Adversarial Attacks by Distributing Different Copies to Different Users. - Jiyi Zhang; Wesley Joon-Wie Tann; Ee-Chien Chang (CoRR, 2021)

Quantum Remote Entanglement for Medium-Free Secure Communication? - Wesley Joon-Wie Tann (CoRR, 2022)

Predicting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach. - Wesley Joon-Wie Tann; Akhil Vuputuri; Ee-Chien Chang (CoRR, 2022)

Mitigating Adversarial Attacks by Distributing Different Copies to Different Buyers. - Jiyi Zhang; Han Fang; Wesley Joon-Wie Tann; Ke Xu; Chengfang Fang; Ee-Chien Chang (AsiaCCS, 2023)

Poisoning Online Learning Filters by Shifting on the Move. - Wesley Joon-Wie Tann; Ee-Chien Chang (DSN, 2023)

Using Large Language Models for Cybersecurity Capture-The-Flag Challenges and Certification Questions. - Wesley Joon-Wie Tann; Yuancheng Liu; Jun Heng Sim; Choon Meng Seah; Ee-Chien Chang (CoRR, 2023)