Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Instructional Fingerprinting of Large Language Models.

[BibT_eX]

[DOI]

Jiashu Xu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger.

[BibT_eX]

[DOI]

Jiazhao Li

Yijin Yang

Zhuofeng Wu

V. G. Vinod Vydiswaran

Chaowei Xiao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

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

CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conversational Drug Editing Using Retrieval and Domain Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

AdaShield : Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Dolphins: Multimodal Language Model for Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.

[BibT_eX]

[DOI]

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

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multi-modal molecule structure-text model for text-based retrieval and editing.

[BibT_eX]

[DOI]

Animashree Anandkumar

Nat. Mac. Intell., December, 2023

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., November, 2023

Behavior Privacy Preserving in RF Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Taxonomy of Machine Learning Safety: A Survey and Primer.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Exploring the Limits of ChatGPT in Software Security Applications.

[BibT_eX]

[DOI]

CoRR, 2023

DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions.

[BibT_eX]

[DOI]

Fangzhou Wu

Xiaogeng Liu

Chaowei Xiao

CoRR, 2023

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2023

On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

[BibT_eX]

[DOI]

Cindy Orozco Bohorquez

Massimiliano Lupo Pasini

CoRR, 2023

CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption.

[BibT_eX]

[DOI]

Zhuoyuan Wu

Jiachen Sun

Chaowei Xiao

CoRR, 2023

ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Demonstration Attacks on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.

[BibT_eX]

[DOI]

CoRR, 2023

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Prismer: A Vision-Language Model with An Ensemble of Experts.

[BibT_eX]

[DOI]

CoRR, 2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

A Text-guided Protein Design Framework.

[BibT_eX]

[DOI]

CoRR, 2023

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

SMACK: Semantically Meaningful Adversarial Audio Attack.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

On the Exploitability of Instruction Tuning.

[BibT_eX]

[DOI]

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

CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DensePure: Understanding Diffusion Models for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Defending against Adversarial Audio via Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Retrieval-based Controllable Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings.

[BibT_eX]

[DOI]

Zhuofeng Wu

Chaowei Xiao

V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency.

[BibT_eX]

[DOI]

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

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion.

[BibT_eX]

[DOI]

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

Semantic Adversarial Attacks via Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Defending against Insertion-based Textual Backdoor Attacks via Attribution.

[BibT_eX]

[DOI]

V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2022

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Physical-World Attack towards WiFi-based Behavior Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

Understanding The Robustness in Vision Transformers.

[BibT_eX]

[DOI]

Animashree Anandkumar

Jiashi Feng

José M. Álvarez

Proceedings of the International Conference on Machine Learning, 2022

Diffusion Models for Adversarial Purification.

[BibT_eX]

[DOI]

Animashree Anandkumar

Proceedings of the International Conference on Machine Learning, 2022

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Trajectory Prediction against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Characterizing Attacks on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Auditing AI models for Verified Deployment under Semantic Specifications.

[BibT_eX]

[DOI]

CoRR, 2021

Practical Machine Learning Safety: A Survey and Primer.

[BibT_eX]

[DOI]

CoRR, 2021

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Long-Short Transformer: Efficient Transformers for Language and Vision.

[BibT_eX]

[DOI]

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

AugMax: Adversarial Composition of Random Augmentations for Robust Training.

[BibT_eX]

[DOI]

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

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.

[BibT_eX]

[DOI]

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

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Behavior Privacy Preserving Method towards RF Sensing.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?

[BibT_eX]

[DOI]

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

Application-driven Privacy-preserving Data Publishing with Correlated Attributes.

[BibT_eX]

[DOI]

Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

2020

Machine Learning in Adversarial Environments.

[BibT_eX]

[DOI]

Chaowei Xiao

PhD thesis, 2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations.

[BibT_eX]

[DOI]

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

Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Characterizing Attacks on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems.

[BibT_eX]

[DOI]

CoRR, 2019

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features.

[BibT_eX]

[DOI]

Proceedings of the 28th USENIX Security Symposium, 2019

Performing Co-membership Attacks Against Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MeshAdv: Adversarial Meshes for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Automatic Radio Map Adaptation for Indoor Localization Using Smartphones.

[BibT_eX]

[DOI]

Chenshu Wu

Zheng Yang

Chaowei Xiao

IEEE Trans. Mob. Comput., 2018

Protecting Sensitive Attributes via Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Data Poisoning Attack against Unsupervised Node Embedding Methods.

[BibT_eX]

[DOI]

CoRR, 2018

Realistic Adversarial Examples in 3D Meshes.

[BibT_eX]

[DOI]

CoRR, 2018

From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 27th USENIX Security Symposium, 2018

Generating Adversarial Examples with Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Spatially Transformed Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Robust Physical-World Attacks on Deep Learning Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State.

[BibT_eX]

[DOI]

Proceedings of the Passive and Active Measurement - 18th International Conference, 2017

2015

Static power of mobile devices: Self-updating radio maps for wireless indoor localization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014

Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014

Chaowei Xiao

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