Tianwei Zhang
62 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
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Conferences
ICLR (11)
CVPR (7)
EMNLP (7)
NIPS (7)
ACL (6)
ICML (6)
AAAI (5)
ICCV (5)
ECCV (2)
IJCAI (2)
NAACL (2)
NSDI (1)
OSDI (1)
Top co-authors
Research topics
Keywords
large language model
(11)
adversarial attack
(8)
backdoor attack
(6)
adversarial learning
(4)
prompt engineering
(3)
diffusion model
(3)
text classification
(3)
computer vision
(3)
deep neural network
(2)
deep reinforcement learning
(2)
out-of-distribution detection
(2)
model security
(2)
named entity recognition
(2)
convolutional neural network
(2)
human pose estimation
(2)
data augmentation
(2)
transfer learning
(2)
in-context learning
(2)
sequence labeling
(2)
machine translation
(2)
Papers
ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs
AAAI 2026
VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking
ICLR 2025
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
AAAI 2025
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
ICML 2025
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
ICML 2025
A Benchmark for Semantic Sensitive Information in LLMs Outputs
ICLR 2025
Understanding the Dark Side of LLMsβ Intrinsic Self-Correction
ACL 2025
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings
ACL 2025
GPT-NER: Named Entity Recognition via Large Language Models
NAACL 2025
Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
CVPR 2025
Hybrid Concept Bottleneck Models
CVPR 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
CVPR 2025
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
ICML 2025
When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
EMNLP 2025
Speculating LLMsβ Chinese Training Data Pollution from Their Tokens
EMNLP 2025
Automated Red Teaming for Text-to-Image Models through Feedback-Guided Prompt Iteration with Vision-Language Models
ICCV 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
ICCV 2025
An Engorgio Prompt Makes Large Language Model Babble on
ICLR 2025
Characterization of Large Language Model Development in the Datacenter
NSDI 2024
You Only Query Once: An Efficient Label-Only Membership Inference Attack
ICLR 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NIPS 2024
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
NIPS 2024
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
NIPS 2024
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
ECCV 2024
Compilation and Fast Model Counting beyond CNF
IJCAI 2024
Walking in Othersβ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
EMNLP 2024
Course-Correction: Safety Alignment Using Synthetic Preferences
EMNLP 2024
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
ICML 2024
Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
ICML 2024
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
SAME: Sample Reconstruction against Model Extraction Attacks
AAAI 2024
The Earth is Flat because...: Investigating LLMsβ Belief towards Misinformation via Persuasive Conversation
ACL 2024
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
ICLR 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NIPS 2024
Color Backdoor: A Robust Poisoning Attack in Color Space
CVPR 2023
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
ACL 2023
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
OSDI 2023
Computation and Data Efficient Backdoor Attacks
ICCV 2023
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
ICML 2023
Defending against Backdoor Attacks in Natural Language Generation
AAAI 2023
Deep Multitask Learning with Progressive Parameter Sharing
ICCV 2023
Extracting Robust Models with Uncertain Examples
ICLR 2023
Text Classification via Large Language Models
EMNLP 2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
ICCV 2023
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
NIPS 2023
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
ICLR 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
ICLR 2022
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
NIPS 2022
Fast Nearest Neighbor Machine Translation
ACL 2022
Improving Adversarial Robustness of 3D Point Cloud Classification Models
ECCV 2022
Iron: Private Inference on Transformers
NIPS 2022
GNN-LM: Language Modeling based on Global Contexts via GNN
ICLR 2022
NASPY: Automated Extraction of Automated Machine Learning Models
ICLR 2022
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
NAACL 2022
Privacy-Preserving Collaborative Learning With Automatic Transformation Search
CVPR 2021
Layer-wise Model Pruning based on Mutual Information
EMNLP 2021
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
IJCAI 2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
EMNLP 2021
Learning to Optimize Non-Rigid Tracking
CVPR 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
AAAI 2020
Sensitive-Sample Fingerprinting of Deep Neural Networks
CVPR 2019