Preston K. Robinette

16 papers A 2Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
We Are What We Repeatedly Do: Improving Long Context Instruction Following.
EACL (Findings)
Preston K. Robinette, Andrew Hard, Swaroop Ramaswamy, Ehsan Amid, Rajiv Mathews, Taylor T. Johnson
2025 J jnl
Blind Visible Watermark Removal with Morphological Dilation.
CoRR
Preston K. Robinette, Taylor T. Johnson
2025 — conf
Robustness Verification of Video Classification Neural Networks.
FormaliSE
Samuel Sasaki, Diego Manzanas Lopez, Preston K. Robinette, Taylor T. Johnson
2025 J jnl
SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities.
CoRR
Dung Thuy Nguyen, Quang Nguyen, Preston K. Robinette, Eli Jiang, Taylor T. Johnson, Kevin Leach
2025 — conf
Trigger-Based Fragile Model Watermarking for Image Transformation Networks.
ESORICS (1)
Preston K. Robinette, Thuy Dung Nguyen, Samuel Sasaki, Taylor T. Johnson
2024 — conf
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets.
FormaliSE@ICSE
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
2024 J jnl
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets.
CoRR
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
2024 J jnl
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM.
CoRR
Quang Nguyen, Truong Vu, Trong-Tung Nguyen, Yuxin Wen, Preston K. Robinette, Taylor T. Johnson, Tom Goldstein, Anh Tran, Khoi Nguyen
2024 A conf
Sanitizing Hidden Information with Diffusion Models.
ECAI
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
2024 J jnl
Trigger-Based Fragile Model Watermarking for Image Transformation Networks.
CoRR
Preston K. Robinette, Dung Thuy Nguyen, Samuel Sasaki, Taylor T. Johnson
2023 — conf
Benchmark: Neural Network Malware Classification.
AISoLA
Preston K. Robinette, Diego Manzanas Lopez, Taylor T. Johnson
2023 — conf
DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces.
ICCPS
Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson
2023 J jnl
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models.
CoRR
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
2023 A conf
SUDS: Sanitizing Universal and Dependent Steganography.
ECAI
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
2023 J jnl
SUDS: Sanitizing Universal and Dependent Steganography.
CoRR
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
2023 — conf
Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces.
ICCPS
Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson