PPaperPicks

Bo Li

University of Illinois at Urbana-Champaign (UIUC), Department of Computer Science, IL, USA

67 papers at tracked venues · 62 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
  2. From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models
  3. A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems
    EMNLP 2025 · Bo Li
  4. AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
  5. AdvAgent: Controllable Blackbox Red-teaming on Web Agents
  6. AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
  7. Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
  8. Anyprefer: An Agentic Framework for Preference Data Synthesis
  9. AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
  10. AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
  11. Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
  12. C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
  13. COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
  14. Can Watermarks be Used to Detect LLM IP Infringement For Free?
  15. DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
  16. Eia: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
  17. GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning
  18. Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
  19. Learning Adaptive Lighting via Channel-Aware Guidance
  20. Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
  21. PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
  22. R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
  23. Reliable and Efficient Amortized Model-based Evaluation
  24. SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
  25. SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
  26. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
  27. SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
  28. SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
  29. SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
  30. ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
  31. Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
  32. Tamper-Resistant Safeguards for Open-Weight LLMs
  33. Towards Statistical Factuality Guarantee for Large Vision-Language Models
  34. UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
  35. Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
  36. VMDT: Decoding the Trustworthiness of Video Foundation Models
  37. AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
  38. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
  39. BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
  40. BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
  41. BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
  42. C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
  43. COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
  44. CaMML: Context-Aware Multimodal Learner for Large Models
  45. Can Public Large Language Models Help Private Cross-device Federated Learning?
  46. Certifiably Byzantine-Robust Federated Conformal Prediction
  47. ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
  48. Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
  49. DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  50. Data Free Backdoor Attacks
  51. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
  52. Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  53. Effective and Efficient Federated Tree Learning on Hybrid Data
  54. Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
  55. Fair Federated Learning via the Proportional Veto Core
  56. GRATH: Gradual Self-Truthifying for Large Language Models
  57. HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
  58. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
  59. InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
  60. LLM-PBE: Assessing Data Privacy in Large Language Models
  61. MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
  62. Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
  63. RedCode: Risky Code Execution and Generation Benchmark for Code Agents
  64. RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
  65. Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
  66. SHINE: Shielding Backdoors in Deep Reinforcement Learning
  67. Towards Trustworthy Large Language Models