Alvin Chan

PhD Candidate in Computer Science, Year 3

Nanyang Technological University, Singapore


Alvin Chan is a Computer Science PhD candidate in Nanyang Technological University, Singapore. His research interests include adversarial learning and deep learning. He is in his 3rd year and works with Prof Ong Yew Soon. In his free time, he enjoys rock-climbing, jogging and attending tech meetups.


  • Adversarial Learning
  • Generative Deep Learning


  • PhD in Computer Science, Year 3

    Nanyang Technological University, Singapore

  • BEng in Bioengineering, 2013

    Nanyang Technological University, Singapore

Recent Publications

CoCon: A Self-Supervised Approach for Controlled Text Generation

TL;DR: We propose CoCon as a self-supervised approach to control LM-based text generation in a fine-grained manner.
Abstract: …

What it Thinks is Important is Important: Robustness Transfers through Input Gradients

TL;DR: By regularizing for similar input gradients, we can transfer adversarial robustness from a teacher to a student classifier even …

Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks

TL;DR: We propose a comprehensive defense to detect and neutralize backdoor poisoning attacks of different sizes.
Abstract: Deep …

Jacobian Adversarially Regularized Networks for Robustness

TL;DR: We show that training classifiers to produce salient input Jacobian matrices with a GAN-like regularization can boost …