Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. - Shengyun Peng; Weilin Xu; Cory Cornelius; Matthew Hull; Kevin Li; Rahul Duggal; Mansi Phute; Jason Martin; Duen Horng Chau (BMVC, 2023)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. - Alec Helbling; Mansi Phute; Matthew Hull; Duen Horng Chau (CoRR, 2023)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. - Mansi Phute; Alec Helbling; Matthew Hull; Shengyun Peng; Sebastian Szyller; Cory Cornelius; Duen Horng Chau (Tiny Papers @ ICLR, 2024)

Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors. - Anisha Pal; Julia Kruk; Mansi Phute; Manognya Bhattaram; Diyi Yang; Duen Horng Chau; Judy Hoffman (NeurIPS, 2024)

LLM Attributor: Interactive Visual Attribution for LLM Generation. - Seongmin Lee 007; Zijie J. Wang; Aishwarya Chakravarthy; Alec Helbling; Shengyun Peng; Mansi Phute; Duen Horng (Polo) Chau; Minsuk Kahng (AAAI, 2025)

3D Gaussian Splat Vulnerabilities. - Matthew Hull; Haoyang Yang; Pratham Mehta; Mansi Phute; Aeree Cho; Haoran Wang; Matthew Lau; Wenke Lee; Willian T. Lunardi; Martin Andreoni; Polo Chau (CoRR, 2025)

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety. - Seongmin Lee 007; Aeree Cho; Grace C. Kim; Shengyun Peng; Mansi Phute; Duen Horng Chau (CoRR, 2025)

VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models. - Mansi Phute; Ravikumar Balakrishnan (CoRR, 2025)

ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages. - Matthew Hull; Haoyang Yang; Pratham Mehta; Mansi Phute; Aeree Cho; Haorang Wang; Matthew Lau; Wenke Lee; Wilian Lunardi; Martin Andreoni; Polo Chau (CoRR, 2025)