PPaperPicks

Xingjun Ma

40 papers at tracked venues · 34 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models
  2. BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
  3. Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
  4. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints
  5. PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
  6. SIDE: Surrogate Conditional Data Extraction from Diffusion Models
  7. AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
  8. Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  9. BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
  10. BadPatch: Diffusion-Based Generation of Physical Adversarial Patches
  11. BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
  12. BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos
  13. CALM: Curiosity-Driven Auditing for Large Language Models
  14. Detecting Backdoor Samples in Contrastive Language Image Pretraining
  15. FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
  16. Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation
  17. From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving
  18. HoneypotNet: Backdoor Attacks Against Model Extraction
  19. Ideator: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
  20. JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
  21. MMFair: Fair Learning via Min-Min Optimization
  22. OmniSVG: A Unified Scalable Vector Graphics Generation Model
  23. Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
  24. SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
  25. SafeVid: Toward Safety Aligned Video Large Multimodal Models
  26. StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
  27. T2UE: Generating Unlearnable Examples from Text Descriptions
    ACM MM 2025 · Xingjun Ma
  28. TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
  29. Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
  30. X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
  31. AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
  32. Adversarial Prompt Tuning for Vision-Language Models
  33. Constrained Intrinsic Motivation for Reinforcement Learning
  34. Fake Alignment: Are LLMs Really Aligned Well?
  35. Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
  36. LDReg: Local Dimensionality Regularized Self-Supervised Learning
  37. ModelLock: Locking Your Model With a Spell
  38. Training Sparse Graph Neural Networks via Pruning and Sprouting
  39. UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
  40. White-box Multimodal Jailbreaks Against Large Vision-Language Models