Shijie Liu

According to our database, Shijie Liu authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning.

Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

CoRR, May, 2025

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning.

Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

It's Simplex! Disaggregating Measures to Improve Certified Robustness.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples.

Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Exploiting Certified Defences to Attack Randomised Smoothing.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

CoRR, 2023

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks.

Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022