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Pin-Yu Chen

Identifiers

  • name variant Pin-Yu Chen 0.60 · backfill

Papers (75)

  1. HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip cs.AR · 2026 · author #4
  2. Backdooring Masked Diffusion Language Models cs.LG · 2026 · author #5
  3. FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models cs.CV · 2026 · author #3
  4. One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue cs.CL · 2026 · author #8
  5. Intermediate Representations are Strong AI-Generated Image Detectors cs.CV · 2026 · author #2
  6. ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval cs.LG · 2026 · author #7
  7. Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs cs.LG · 2026 · author #8
  8. Visual prompting reimagined: The power of the Activation Prompts cs.CV · 2026 · author #6
  9. Emergent Social Intelligence Risks in Generative Multi-Agent Systems cs.MA · 2026 · author #11
  10. Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning cs.LG · 2026 · author #3
  11. Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models cs.AI · 2025 · author #4
  12. Large Reasoning Models Learn Better Alignment from Flawed Thinking cs.LG · 2025 · author #5
  13. OjaKV: Context-Aware Online Low-Rank KV Cache Compression cs.CL · 2025 · author #6
  14. Hey, That's My Data! Token-Only Dataset Inference in Large Language Models cs.CL · 2025 · author #5
  15. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective cs.CY · 2025 · author #63
  16. Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting cs.LG · 2024 · author #2
  17. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge cs.CL · 2024 · author #10
  18. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #50
  19. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! cs.CL · 2023 · author #4
  20. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cs.LG · 2023 · author #7
  21. Model Agnostic Contrastive Explanations for Structured Data cs.LG · 2019 · author #4
  22. Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach cs.CR · 2019 · author #1
  23. PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach cs.LG · 2018 · author #2
  24. Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification cs.LG · 2018 · author #3
  25. CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks stat.ML · 2018 · author #3
  26. Efficient Neural Network Robustness Certification with General Activation Functions cs.LG · 2018 · author #3
  27. Word Mover's Embedding: From Word2Vec to Document Embedding cs.CL · 2018 · author #6
  28. On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm cs.LG · 2018 · author #3
  29. Characterizing Audio Adversarial Examples Using Temporal Dependency cs.LG · 2018 · author #3
  30. On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces cs.CV · 2018 · author #3
  31. Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR stat.ML · 2018 · author #1
  32. Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models cs.CV · 2018 · author #5
  33. Structured Adversarial Attack: Towards General Implementation and Better Interpretability cs.LG · 2018 · author #4
  34. Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach cs.LG · 2018 · author #3
  35. Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications stat.ML · 2018 · author #1
  36. Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization cs.LG · 2018 · author #3
  37. Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding cs.LG · 2018 · author #3
  38. On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples cs.CV · 2018 · author #2
  39. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization stat.ML · 2018 · author #1
  40. Bypassing Feature Squeezing by Increasing Adversary Strength stat.ML · 2018 · author #2
  41. On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples cs.LG · 2018 · author #2
  42. Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives cs.AI · 2018 · author #2
  43. First-order bifurcation detection for dynamic complex networks eess.SP · 2018 · author #2
  44. Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach stat.ML · 2018 · author #3
  45. Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications cs.LG · 2017 · author #1
  46. Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning cs.CV · 2017 · author #3
  47. Attacking the Madry Defense Model with $L_1$-based Adversarial Examples stat.ML · 2017 · author #2
  48. Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications stat.ML · 2017 · author #3
  49. Revisiting Spectral Graph Clustering with Generative Community Models stat.ML · 2017 · author #1
  50. EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples stat.ML · 2017 · author #1
  51. Principled Multilayer Network Embedding cs.SI · 2017 · author #2
  52. Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models cs.NI · 2017 · author #1
  53. ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models stat.ML · 2017 · author #1
  54. Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms stat.ML · 2017 · author #1
  55. Can GAN Learn Topological Features of a Graph? cs.LG · 2017 · author #2
  56. Bias-Variance Tradeoff of Graph Laplacian Regularizer stat.ML · 2017 · author #1
  57. Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity stat.ML · 2017 · author #2
  58. Traffic-aware Patching for Cyber Security in Mobile IoT cs.CR · 2017 · author #2
  59. FEAST: An Automated Feature Selection Framework for Compilation Tasks cs.PL · 2016 · author #3
  60. Multilayer Spectral Graph Clustering via Convex Layer Aggregation cs.LG · 2016 · author #1
  61. AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering cs.SI · 2016 · author #1
  62. Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach cs.SI · 2016 · author #1
  63. Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering cs.SI · 2016 · author #1
  64. Ecology-Based DoS Attack in Cognitive Radio Networks cs.CR · 2016 · author #2
  65. Decapitation via Digital Epidemics: A Bio-Inspired Transmissive Attack cs.CR · 2016 · author #1
  66. Buffer Occupancy and Delivery Reliability Tradeoffs for Epidemic Routing cs.NI · 2016 · author #1
  67. Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection cs.SI · 2015 · author #1
  68. Incremental Method for Spectral Clustering of Increasing Orders cs.SI · 2015 · author #1
  69. When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective cs.SI · 2015 · author #1
  70. Supervised Collective Classification for Crowdsourcing cs.SI · 2015 · author #1
  71. Phase Transitions in Spectral Community Detection of Large Noisy Networks cs.SI · 2015 · author #1
  72. Sequential Defense Against Random and Intentional Attacks in Complex Networks cs.SI · 2015 · author #1
  73. Universal Phase Transition in Community Detectability under a Stochastic Block Model cs.SI · 2014 · author #1
  74. Deep Community Detection cs.SI · 2014 · author #1
  75. Node Removal Vulnerability of the Largest Component of a Network cs.SI · 2014 · author #1

Mentions

  • 2605.19399 #4 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2605.19262 #5 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2605.19111 #3 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2602.04998 #3 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2502.14296 #63 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2401.05561 #50 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2310.01728 #7 · arxiv_oai · confidence 0.70 Pin-Yu Chen
  • 2410.02736 #10 · arxiv_oai · confidence 0.70 Pin-Yu Chen

Frequent Coauthors