Tianyu Du
27 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
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Keywords
large language model
(6)
adversarial training
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vision-language model
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backdoor attack
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federated learning
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adversarial learning
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code generation
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privacy preservation
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diffusion model
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adversarial defense
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adversarial robustness
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differential privacy
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question answering
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in-context learning
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adversarial attack
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self-supervised learning
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text classification
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Papers
ACIArena: Toward Unified Evaluation for Agent Cascading Injection
ACL 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
AAAI 2026
HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
AAAI 2026
Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors
ACL 2026
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
AAAI 2026
βI See What You Did Thereβ: Can Large Vision-Language Models Understand Multimodal Puns?
ACL 2026
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
AAAI 2026
Tool-Planner: Task Planning with Clusters across Multiple Tools
ICLR 2025
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
ICLR 2025
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
IJCAI 2025
An Inversion-based Measure of Memorization for Diffusion Models
ICCV 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
AAAI 2025
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks
ACL 2025
DROWN: Towards Tighter LiRPA-based Robustness Certification
COLING 2025
IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
EMNLP 2025
VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
EMNLP 2025
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
EMNLP 2025
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
ICLR 2025
ReMasker: Imputing Tabular Data with Masked Autoencoding
ICLR 2024
SecCoder: Towards Generalizable and Robust Secure Code Generation
EMNLP 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
ACL 2024
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
ACL 2024
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
NIPS 2023
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
NIPS 2023
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
ICCV 2023
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
NIPS 2023