Minhao Cheng

Orcid: 0000-0003-3965-4215

According to our database¹, Minhao Cheng authored at least 44 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Watermark-Conditioned Diffusion Model for IP Protection.

[BibT_eX]

[DOI]

CoRR, 2024

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.

[BibT_eX]

[DOI]

CoRR, 2024

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

2023

CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Dataset Distillation via Adversarial Prediction Matching.

[BibT_eX]

[DOI]

CoRR, 2023

Backdoor Attack against Object Detection with Clean Annotation.

[BibT_eX]

[DOI]

Yize Cheng

Wenbin Hu

Minhao Cheng

CoRR, 2023

Backdoor Learning on Sequence to Sequence Models.

[BibT_eX]

[DOI]

Lichang Chen

Minhao Cheng

Heng Huang

CoRR, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.

[BibT_eX]

[DOI]

Lichang Chen

Heng Huang

Minhao Cheng

CoRR, 2023

Towards Stable Backdoor Purification through Feature Shift Tuning.

[BibT_eX]

[DOI]

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

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Identification of the Adversary from a Single Adversarial Example.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.

[BibT_eX]

[DOI]

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

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.

[BibT_eX]

[DOI]

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

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation.

[BibT_eX]

[DOI]

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

2022

Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks.

[BibT_eX]

[DOI]

World Wide Web, 2022

MSDT: Masked Language Model Scoring Defense in Text Domain.

[BibT_eX]

[DOI]

Jaechul Roh

Minhao Cheng

Yajun Fang

Proceedings of the 6th International Conference on Universal Village, 2022

Efficient Non-Parametric Optimizer Search for Diverse Tasks.

[BibT_eX]

[DOI]

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

Random Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

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

CAT: Customized Adversarial Training for Improved Robustness.

[BibT_eX]

[DOI]

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

Concurrent Adversarial Learning for Large-Batch Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

On the Robustness of Neural Network: Attacks and Defenses.

[BibT_eX]

[DOI]

Minhao Cheng

PhD thesis, 2021

A Review of Adversarial Attack and Defense for Classification Methods.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Architecture Selection in Differentiable NAS.

[BibT_eX]

[DOI]

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

DrNAS: Dirichlet Neural Architecture Search.

[BibT_eX]

[DOI]

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

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving.

[BibT_eX]

[DOI]

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

Self-Progressing Robust Training.

[BibT_eX]

[DOI]

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

2020

Voting based ensemble improves robustness of defensive models.

[BibT_eX]

[DOI]

CoRR, 2020

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.

[BibT_eX]

[DOI]

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

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhancing Certifiable Robustness via a Deep Model Ensemble.

[BibT_eX]

[DOI]

Huan Zhang

Minhao Cheng

Cho-Jui Hsieh

CoRR, 2019

Natural Adversarial Sentence Generation with Gradient-based Perturbation.

[BibT_eX]

[DOI]

CoRR, 2019

Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization.

[BibT_eX]

[DOI]

Huang Fang

Minhao Cheng

Cho-Jui Hsieh

Michael P. Friedlander

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

Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent.

[BibT_eX]

[DOI]

Minhao Cheng

Wei Wei

Cho-Jui Hsieh

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

On the Robustness of Self-Attentive Models.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Stochastic Zeroth-order Optimization via Variance Reduction method.

[BibT_eX]

[DOI]

CoRR, 2018

Learning from Group Comparisons: Exploiting Higher Order Interactions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Primal-Dual Optimization for Non-uniformly Distributed Data.

[BibT_eX]

[DOI]

Minhao Cheng

Cho-Jui Hsieh

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

Extreme Learning to Rank via Low Rank Assumption.

[BibT_eX]

[DOI]

Minhao Cheng

Ian Davidson

Cho-Jui Hsieh

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Robust Neural Networks via Random Self-ensemble.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Huang Fang

Minhao Cheng

Cho-Jui Hsieh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2015

Intelligent Mobile Framework Based on Swarm Computation.

[BibT_eX]

[DOI]

Xinzheng Niu

Dazhuang Su

Minhao Cheng

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

Minhao Cheng

Timeline

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