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Paul Montague

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Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts

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Mar 18, 2024
Anh Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Phung

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BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

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Mar 06, 2024
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague

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Adversarial Robustness on Image Classification with $k$-means

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Dec 15, 2023
Rollin Omari, Junae Kim, Paul Montague

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It's Simplex! Disaggregating Measures to Improve Certified Robustness

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Sep 20, 2023
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

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Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks

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Aug 15, 2023
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

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Generating Adversarial Examples with Task Oriented Multi-Objective Optimization

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Apr 26, 2023
Anh Bui, Trung Le, He Zhao, Quan Tran, Paul Montague, Dinh Phung

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Exploiting Certified Defences to Attack Randomised Smoothing

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Feb 09, 2023
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

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

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Oct 12, 2022
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

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Transferable Graph Backdoor Attack

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Jul 05, 2022
Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier De Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere

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Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning

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Jan 25, 2021
Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung

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