Quickest intrusion detection in mobile active user authentication. - Pramuditha Perera; Vishal M. Patel (BTAS, 2016)

Extreme Value Analysis for Mobile Active User Authentication. - Pramuditha Perera; Vishal M. Patel (FG, 2017)

Towards Multiple User Active Authentication in Mobile Devices. - Pramuditha Perera; Vishal M. Patel (FG, 2017)

Dual-Minimax Probability Machines for One-class Mobile Active Authentication. - Pramuditha Perera; Vishal M. Patel (BTAS, 2018)

In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks. - Pramuditha Perera; Mahdi Abavisani; Vishal M. Patel (ICPR, 2018)

Efficient and Low Latency Detection of Intruders in Mobile Active Authentication. - Pramuditha Perera; Vishal M. Patel (IEEE Trans. Inf. Forensics Secur., 2018)

Active Authentication on Mobile Devices. - Pramuditha Perera; Vishal M. Patel (Selfie Biometrics, 2019)

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. - Pramuditha Perera; Ramesh Nallapati; Bing Xiang (CVPR, 2019)

Deep Transfer Learning for Multiple Class Novelty Detection. - Pramuditha Perera; Vishal M. Patel (CVPR, 2019)

Face-Based Multiple User Active Authentication on Mobile Devices. - Pramuditha Perera; Vishal M. Patel (IEEE Trans. Inf. Forensics Secur., 2019)

Learning Deep Features for One-Class Classification. - Pramuditha Perera; Vishal M. Patel (IEEE Trans. Image Process., 2019)

Generative-Discriminative Feature Representations for Open-Set Recognition. - Pramuditha Perera; Vlad I. Morariu; Rajiv Jain; Varun Manjunatha; Curtis Wigington; Vicente Ordonez; Vishal M. Patel (CVPR, 2020)

Open-Set Adversarial Defense. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (ECCV (17), 2020)

Anomaly Detection-Based Unknown Face Presentation Attack Detection. - Yashasvi Baweja; Poojan Oza; Pramuditha Perera; Vishal M. Patel (IJCB, 2020)

Quickest Intruder Detection For Multiple User Active Authentication. - Pramuditha Perera; Julian Fiérrez; Vishal M. Patel (ICIP, 2020)

A Joint Representation Learning and Feature Modeling Approach for One-class Recognition. - Pramuditha Perera; Vishal M. Patel (ICPR, 2020)

Federated Face Anti-spoofing. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (CoRR, 2020)

Geometric Transformation-Based Network Ensemble for Open-Set Recognition. - Pramuditha Perera; Vishal M. Patel (ICME, 2021)

One-Class Classification: A Survey. - Pramuditha Perera; Poojan Oza; Vishal M. Patel (CoRR, 2021)

Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (Int. J. Comput. Vis., 2022)

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. - Xingyu Fu; Sheng Zhang 029; Gukyeong Kwon; Pramuditha Perera; Henghui Zhu; Yuhao Zhang 004; Alexander Hanbo Li; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Patrick Ng; Dan Roth 001; et al. (ACL (Findings), 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henghui Zhu; Sheng Zhang 029; Pramuditha Perera; Chung-Wei Hang; Jie Ma 005; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (ACL (Findings), 2023)

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. - Benjamin Bowman; Alessandro Achille; Luca Zancato; Matthew Trager; Pramuditha Perera; Giovanni Paolini; Stefano Soatto (CVPR, 2023)

Train/Test-Time Adaptation with Retrieval. - Luca Zancato; Alessandro Achille; Tian Yu Liu; Matthew Trager; Pramuditha Perera; Stefano Soatto (CVPR, 2023)

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Stefano Soatto (ICCV, 2023)

Linear Spaces of Meanings: the Compositional Language of VLMs. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Bing Xiang; Stefano Soatto (CoRR, 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henry Zhu; Sheng Zhang 012; Chung-Wei Hang; Pramuditha Perera; Jie Ma 005; William Wang 001; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (CoRR, 2023)

Prompt Algebra for Task Composition. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2023)

Multi-Modal Hallucination Control by Visual Information Grounding. - Alessandro Favero; Luca Zancato; Matthew Trager; Siddharth Choudhary; Pramuditha Perera; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

Meaning Representations from Trajectories in Autoregressive Models. - Tian Yu Liu; Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (ICLR, 2024)

Compositional Structures in Neural Embedding and Interaction Decompositions. - Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (CoRR, 2024)

Approximately Aligned Decoding. - Daniel Melcer; Sujan K. Gonugondla; Pramuditha Perera; Haifeng Qian; Wen-Hao Chiang; Yanjun Wang; Nihal Jain; Pranav Garg 001; Xiaofei Ma 001; Anoop Deoras (CoRR, 2024)

Federated Generalized Face Presentation Attack Detection. - Rui Shao 001; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel (IEEE Trans. Neural Networks Learn. Syst., 2024)

Descriminative-Generative Custom Tokens for Vision-Language Models. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2025)