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Taylor T. Johnson

11 papers at tracked venues · 3 at CORE A* · active 2024–2026

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Venues

AAAI ×1AAMAS ×1DSN ×1EACL ×1ECAI ×1ECML-PKDD ×1ESORICS ×1IJCAI ×1NDSS ×1NeurIPS ×1WACV ×1

Frequent coauthors

Preston K. Robinette
×4
Meiyi Ma
×3
Dung Thuy Nguyen
×2
Kevin Leach
×2
Ziyan An
×2
Samuel Sasaki
×2
Tianshu Bao
×2
Quang Nguyen
×1
Eli Jiang
×1
Andrew Hard
×1
Swaroop Ramaswamy
×1
Ehsan Amid
×1

Papers

  1. SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities
    WACV 2026 ·
    Dung Thuy Nguyen
    ,
    Quang Nguyen
    ,
    Preston K. Robinette
    ,
    Eli Jiang
    , Taylor T. Johnson,
    Kevin Leach
  2. We Are What We Repeatedly Do: Improving Long Context Instruction Following
    EACL 2026 ·
    Preston K. Robinette
    ,
    Andrew Hard
    ,
    Swaroop Ramaswamy
    ,
    Ehsan Amid
    ,
    Rajiv Mathews
    , Taylor T. Johnson
  3. Combining LLMs with a Logic-Based Framework to Explain MCTS
    AAMAS 2025 ·
    Ziyan An
    ,
    Xia Wang
    ,
    Hendrik Baier
    ,
    Zirong Chen
    ,
    Abhishek Dubey
    , Taylor T. Johnson,
    Jonathan Sprinkle
    ,
    Ayan Mukhopadhyay
    ,
    Meiyi Ma
  4. PBP: Post-training Backdoor Purification for Malware Classifiers
    NDSS 2025 ·
    Dung Thuy Nguyen
    ,
    Ngoc N. Tran
    , Taylor T. Johnson,
    Kevin Leach
  5. Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
    NeurIPS 2025 ·
    Navid Hashemi
    ,
    Samuel Sasaki
    ,
    Ipek Oguz
    ,
    Meiyi Ma
    , Taylor T. Johnson
  6. Trigger-Based Fragile Model Watermarking for Image Transformation Networks
    ESORICS 2025 ·
    Preston K. Robinette
    ,
    Thuy Dung Nguyen
    ,
    Samuel Sasaki
    , Taylor T. Johnson
  7. Formal Logic Enabled Personalized Federated Learning through Property Inference
    AAAI 2024 ·
    Ziyan An
    , Taylor T. Johnson,
    Meiyi Ma
  8. Sanitizing Hidden Information with Diffusion Models
    ECAI 2024 ·
    Preston K. Robinette
    ,
    Daniel Moyer
    , Taylor T. Johnson
  9. Spatial-Temporal PDE Networks for Traffic Flow Forecasting
    ECML-PKDD 2024 ·
    Tianshu Bao
    ,
    Hua Wei
    ,
    Junyi Ji
    ,
    Daniel B. Work
    , Taylor T. Johnson
  10. Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
    IJCAI 2024 ·
    Tianshu Bao
    , Taylor T. Johnson,
    Xiaowei Jia
  11. Tutorial: Safe, Secure, and Trustworthy Artificial Intelligence (AI) via Formal Verification of Neural Networks and Autonomous Cyber-Physical Systems (CPS) with NNV
    DSN 2024 · Taylor T. Johnson,
    Diego Manzanas Lopez
    ,
    Hoang-Dung Tran