Ruoxi Jia

Michael I. Jordan

CoRR, 2024

JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits.

[BibT_eX]

[DOI]

CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.

[BibT_eX]

[DOI]

CoRR, 2024

FASTTRACK: Fast and Accurate Fact Tracing for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study.

[BibT_eX]

[DOI]

CoRR, 2024

A Safe Harbor for AI Evaluation and Red Teaming.

[BibT_eX]

[DOI]

CoRR, 2024

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.

[BibT_eX]

[DOI]

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

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits.

[BibT_eX]

[DOI]

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

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

[BibT_eX]

[DOI]

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

Deep Stochastic Mechanics.

[BibT_eX]

[DOI]

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

Position: A Safe Harbor for AI Evaluation and Red Teaming.

[BibT_eX]

[DOI]

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

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.

[BibT_eX]

[DOI]

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

Efficient Data Shapley for Weighted Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

Prateek Mittal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.

[BibT_eX]

[DOI]

Bilgehan Sel

Priya Shanmugasundaram

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

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.

[BibT_eX]

[DOI]

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

2023

Variance reduced Shapley value estimation for trustworthy data valuation.

[BibT_eX]

[DOI]

Comput. Oper. Res., November, 2023

One-Round Active Learning through Data Utility Learning and Proxy Models.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Certifiably Robust Neural ODE With Learning-Based Barrier Function.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Data Acquisition: A New Frontier in Data-centric AI.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Rank for Active Learning via Multi-Task Bilevel Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation.

[BibT_eX]

[DOI]

CoRR, 2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2023

A Randomized Approach for Tight Privacy Accounting.

[BibT_eX]

[DOI]

CoRR, 2023

A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms".

[BibT_eX]

[DOI]

CoRR, 2023

A Note on "Towards Efficient Data Valuation Based on the Shapley Value".

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

ModelPred: A Framework for Predicting Trained Model from Training Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 26th International Symposium on Research in Attacks, 2023

A Randomized Approach to Tight Privacy Accounting.

[BibT_eX]

[DOI]

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

A Privacy-Friendly Approach to Data Valuation.

[BibT_eX]

[DOI]

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

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.

[BibT_eX]

[DOI]

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

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

2D-Shapley: A Framework for Fragmented Data Valuation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards Robustness Certification Against Universal Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.

[BibT_eX]

[DOI]

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

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Data Valuation via Variance Reduced Data Shapley.

[BibT_eX]

[DOI]

CoRR, 2022

Private Data Valuation and Fair Payment in Data Marketplaces.

[BibT_eX]

[DOI]

CoRR, 2022

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

[BibT_eX]

[DOI]

CoRR, 2022

Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity.

[BibT_eX]

[DOI]

CoRR, 2022

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models.

[BibT_eX]

[DOI]

CoRR, 2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning.

[BibT_eX]

[DOI]

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

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.

[BibT_eX]

[DOI]

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

Selective Differential Privacy for Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Adversarial Unlearning of Backdoors via Implicit Hypergradient.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Label-Only Model Inversion Attacks via Boundary Repulsion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Learning to Refit for Convex Learning Problems.

[BibT_eX]

[DOI]

CoRR, 2021

Zero-Round Active Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learnability of Learning Performance and Its Application to Data Valuation.

[BibT_eX]

[DOI]

Yu Yang

CoRR, 2021

A Unified Framework for Task-Driven Data Quality Management.

[BibT_eX]

[DOI]

CoRR, 2021

One-Round Active Learning.

[BibT_eX]

[DOI]

CoRR, 2021

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.

[BibT_eX]

[DOI]

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

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective.

[BibT_eX]

[DOI]

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

Knowledge-Enriched Distributional Model Inversion Attacks.

[BibT_eX]

[DOI]

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

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

[BibT_eX]

[DOI]

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

REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization.

[BibT_eX]

[DOI]

Yuheng Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Principled Approach to Data Valuation for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Improved Techniques for Model Inversion Attacks.

[BibT_eX]

[DOI]

Guo-Jun Qi

CoRR, 2020

A Principled Approach to Data Valuation for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Private Distributed Mean Estimation.

[BibT_eX]

[DOI]

Lun Wang

CoRR, 2020

On the Impact of Perceptual Compression on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Robust anomaly detection and backdoor attack detection via differential privacy.

[BibT_eX]

[DOI]

Min Du

Dawn Song

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

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.

[BibT_eX]

[DOI]

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

2019

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Efficient Data Valuation Based on the Shapley Value.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Accountable Data Fusion and Privacy Preservation Techniques in Cyber-Physical Systems.

[BibT_eX]

[DOI]

PhD thesis, 2018

A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems.

[BibT_eX]

[DOI]

Fisayo Caleb Sangogboye

Tianzhen Hong

Ioannis C. Konstantakopoulos

Mikkel Baun Kjærgaard

ACM Trans. Sens. Networks, 2018

Design Automation for Smart Building Systems.

[BibT_eX]

[DOI]

Alberto L. Sangiovanni-Vincentelli

Proc. IEEE, 2018

One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy.

[BibT_eX]

[DOI]

CoRR, 2018

The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity.

[BibT_eX]

[DOI]

CoRR, 2018

Poisoning Attacks on Data-Driven Utility Learning in Games.

[BibT_eX]

[DOI]

Ioannis C. Konstantakopoulos

Bo Li

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2017

Privacy-preserving building-related data publication using PAD.

[BibT_eX]

[DOI]

Fisayo Caleb Sangogboye

Tianzhen Hong

Mikkel Baun Kjærgaard

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

PAD: protecting anonymity in publishing building related datasets.

[BibT_eX]

[DOI]

Fisayo Caleb Sangogboye

Tianzhen Hong

Mikkel Baun Kjærgaard

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Privacy-enhanced architecture for occupancy-based HVAC Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Optimal sensor-controller codesign for privacy in dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Towards a theory of free-lunch privacy in cyber-physical systems.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further?

[BibT_eX]

[DOI]

Sensors, 2016

2015

A fully unsupervised non-intrusive load monitoring framework.

[BibT_eX]

[DOI]

Yang Gao

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

SoundLoc: Accurate room-level indoor localization using acoustic signatures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

SoundLoc: Acoustic Method for Indoor Localization without Infrastructure.

[BibT_eX]

[DOI]

CoRR, 2014

PresenceSense: zero-training algorithm for individual presence detection based on power monitoring.

[BibT_eX]

[DOI]

Ioannis C. Konstantakopoulos

Zhaoyi Kang