Xiao Yang

Orcid: 0000-0001-9502-9962

Affiliations:

Tsinghua University, Department of Computer Science and Technology, Institute for AI, Beijing, China
Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, China

According to our database¹, Xiao Yang authored at least 70 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation.

[BibT_eX]

[DOI]

CoRR, May, 2026

Mind over Space: Can Multimodal Large Language Models Mentally Navigate?

[BibT_eX]

[DOI]

CoRR, March, 2026

Reasoning as State Transition: A Representational Analysis of Reasoning Evolution in Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

ImAdv: Transferable Implicit Adversarial Attack for 3D Object Detectors in Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2025

KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, November, 2025

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Effective and Stealthy One-Shot Jailbreaks on Deployed Mobile Vision-Language Agents.

[BibT_eX]

[DOI]

CoRR, October, 2025

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

Exploring the Secondary Risks of Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments.

[BibT_eX]

[DOI]

CoRR, June, 2025

MLA-Trust Dataset: GUI Environment Data for Multimodal LLM Agent Trustworthiness Evaluation.

[BibT_eX]

[DOI]

Xiao Yang

Jiawei Chen

Zhengwei Fang

Dataset, June, 2025

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2025

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., February, 2025

Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails.

[BibT_eX]

[DOI]

CoRR, February, 2025

Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2025

CamoEnv: Transferable and environment-consistent adversarial camouflage in autonomous driving.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2025

AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

STAIR: Improving Safety Alignment with Introspective Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2024

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study.

[BibT_eX]

[DOI]

CoRR, 2024

AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework.

[BibT_eX]

[DOI]

CoRR, 2024

BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators.

[BibT_eX]

[DOI]

CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.

[BibT_eX]

[DOI]

CoRR, 2024

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Models are Certifiably Robust Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Classification via a Single Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Transferable Targeted 3D Adversarial Attack in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., October, 2023

How Robust is Google's Bard to Adversarial Image Attacks?

[BibT_eX]

[DOI]

CoRR, 2023

A Recipe for Watermarking Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

On Evaluating Adversarial Robustness of Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards generalizable detection of face forgery via self-guided model-agnostic learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Memorization in Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Unrestricted Adversarial Attacks on ImageNet Competition.

[BibT_eX]

[DOI]

CoRR, 2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Semantic Contour for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Query2Label: A Simple Transformer Way to Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Accumulative Poisoning Attacks on Real-time Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bag of Tricks for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Face Encryption by Generating Adversarial Identity Masks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Black-box Detection of Backdoor Attacks with Limited Information and Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Part Segmentation Through Disentangling Appearance and Shape.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2020

Delving into the Adversarial Robustness on Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Privacy Protection by Generating Adversarial Identity Masks.

[BibT_eX]

[DOI]

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

[BibT_eX]

[DOI]

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Design and Interpretation of Universal Adversarial Patches in Face Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Benchmarking Adversarial Robustness on Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Benchmarking Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2019

Design and Interpretation of Universal Adversarial Patches in Face Detection.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes.

[BibT_eX]

[DOI]

IEEE Access, 2018

Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Xiao Yang

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