Chuan Guo

According to our database, Chuan Guo authored at least 57 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction.

Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu

CoRR, 2024

AdvPrefix: An Objective for Nuanced LLM Jailbreaks.

Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov

CoRR, 2024

Aligning LLMs to Be Robust Against Prompt Injection.

Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

CoRR, 2024

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds.

Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

CoRR, 2024

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning.

Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo

CoRR, 2024

Privacy Amplification for the Gaussian Mechanism via Bounded Support.

Shengyuan Hu, Saeed Mahloujifar, Virginia Smith, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

Information Flow Control in Machine Learning through Modular Model Architecture.

Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh

Proceedings of the 33rd USENIX Security Symposium, 2024

Measuring Dejavu Memorization Efficiently.

Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Déjà Vu Memorization in Vision-Language Models.

Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ViP: A Differentially Private Foundation Model for Computer Vision.

Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

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

Differentially Private Representation Learning via Image Captioning.

Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

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

2023

Large-Scale Public Data Improves Differentially Private Image Generation Quality.

Ruihan Wu, Chuan Guo, Kamalika Chaudhuri

CoRR, 2023

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.

Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter.

Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning.

Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo

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

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

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

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis.

Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee

Proceedings of the International Conference on Machine Learning, 2023

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano.

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

Proceedings of the International Conference on Machine Learning, 2023

Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design.

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat

Proceedings of the International Conference on Machine Learning, 2023

Does Label Differential Privacy Prevent Label Inference Attacks?

Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo

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

Origins of Low-Dimensional Adversarial Perturbations.

Elvis Dohmatob, Chuan Guo, Morgane Goibert

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

2022

The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning.

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat

CoRR, 2022

Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

CoRR, 2022

Submix: Practical Private Prediction for Large-Scale Language Models.

Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo

CoRR, 2022

Privacy-aware compression for federated data analysis.

Kamalika Chaudhuri, Chuan Guo, Mike Rabbat

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract).

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bounding Training Data Reconstruction in Private (Deep) Learning.

Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten

Proceedings of the International Conference on Machine Learning, 2022

On the Importance of Difficulty Calibration in Membership Inference Attacks.

Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles

Proceedings of the Tenth International Conference on Learning Representations, 2022

EIFFeL: Ensuring Integrity for Federated Learning.

Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.

Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

CoRR, 2021

Measuring data leakage in machine-learning models with Fisher information.

Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Online Adaptation to Label Distribution Shift.

Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger

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

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.

Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten

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

ReAct: Out-of-distribution Detection With Rectified Activations.

Yiyou Sun, Chuan Guo, Yixuan Li

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

BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining.

Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh

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

Making Paper Reviewing Robust to Bid Manipulation Attacks.

Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger

Proceedings of the 38th International Conference on Machine Learning, 2021

Gradient-based Adversarial Attacks against Text Transformers.

Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Threats and Countermeasures in Machine Learning Applications.

Chuan Guo

PhD thesis, 2020

TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks.

Chuan Guo, Ruihan Wu, Kilian Q. Weinberger

CoRR, 2020

Secure multiparty computations in floating-point arithmetic.

Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

CoRR, 2020

Certified Data Removal from Machine Learning Models.

Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Low Frequency Adversarial Perturbation.

Chuan Guo, Jared S. Frank, Kilian Q. Weinberger

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength.

Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces.

Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Simple Black-box Adversarial Attacks.

Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the b-chromatic number of cartesian products.

Chuan Guo, Mike Newman

Discret. Appl. Math., 2018

An empirical study on evaluation metrics of generative adversarial networks.

Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger

CoRR, 2018

Countering Adversarial Images using Input Transformations.

Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten

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

2017

A tight bound on the size of certain separating hash families.

Chuan Guo, Douglas R. Stinson

Australas. J Comb., 2017

On Calibration of Modern Neural Networks.

Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger

Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering and Exploiting Additive Structure for Bayesian Optimization.

Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Palindromic rich words and run-length encodings.

Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur

Inf. Process. Lett., 2016

Supervised Word Mover's Distance.

Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

On tight bounds for binary frameproof codes.

Chuan Guo, Douglas R. Stinson, Tran van Trung

Des. Codes Cryptogr., 2015

On the Combinatorics of Palindromes and Antipalindromes.

Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur

CoRR, 2015