Yiwen Guo

CoRR, 2023

Code Representation Pre-training with Complements from Program Executions.

[BibT_eX]

[DOI]

CoRR, 2023

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Transferability of Adversarial Examples via Bayesian Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Adversarial Transferability by Intermediate-level Perturbation Decay.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Examples Are Not Real Features.

[BibT_eX]

[DOI]

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

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly.

[BibT_eX]

[DOI]

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

Improving Adversarial Transferability via Intermediate-level Perturbation Decay.

[BibT_eX]

[DOI]

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

Squeeze Training for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.

[BibT_eX]

[DOI]

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

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation.

[BibT_eX]

[DOI]

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

CFA: Class-Wise Calibrated Fair Adversarial Training.

[BibT_eX]

[DOI]

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

Texts as Images in Prompt Tuning for Multi-Label Image Recognition.

[BibT_eX]

[DOI]

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

Understanding Programs by Exploiting (Fuzzing) Test Cases.

[BibT_eX]

[DOI]

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

2022

Deepfake Forensics via an Adversarial Game.

[BibT_eX]

[DOI]

Zhi Wang

Wangmeng Zuo

IEEE Trans. Image Process., 2022

Recent Advances in Large Margin Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Collaborative Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

On Steering Multi-Annotations per Sample for Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, 2022

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.

[BibT_eX]

[DOI]

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

Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Membership Inference Attack in Face of Data Transformations.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021

Deep Likelihood Network for Image Restoration With Multiple Degradation Levels.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Adversarial Margin Maximization Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

On Connections Between Regularizations for Improving DNN Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Protect privacy of deep classification networks by exploiting their generative power.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Discovering regions of anomalous spatial co-locations.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., 2021

Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Coreset for Continuous-and-Bounded Learning (with Outliers).

[BibT_eX]

[DOI]

Zixiu Wang

Hu Ding

CoRR, 2021

Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems.

[BibT_eX]

[DOI]

Zixiu Wang

Hu Ding

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

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

[BibT_eX]

[DOI]

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

2020

Compressing Deep Neural Networks With Sparse Matrix Factorization.

[BibT_eX]

[DOI]

Kailun Wu

IEEE Trans. Neural Networks Learn. Syst., 2020

Adjusting the imbalance ratio by the dimensionality of imbalanced data.

[BibT_eX]

[DOI]

Rui Zhu

Jing-Hao Xue

Pattern Recognit. Lett., 2020

Pointly-supervised scene parsing with uncertainty mixture.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

LID 2020: The Learning from Imperfect Data Challenge Results.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Certified Robustness of Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Practical No-box Adversarial Attacks against DNNs.

[BibT_eX]

[DOI]

Qizhang Li

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

Backpropagating Linearly Improves Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Qizhang Li

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

Sparse Coding with Gated Learned ISTA.

[BibT_eX]

[DOI]

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

Yet Another Intermediate-Level Attack.

[BibT_eX]

[DOI]

Qizhang Li

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Differentiable Architecture Search with Ensemble Gumbel-Softmax.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Discriminative Clustering Analysis.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Likelihood Network for Image Restoration with Multiple Degradations.

[BibT_eX]

[DOI]

CoRR, 2019

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks.

[BibT_eX]

[DOI]

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

DATA: Differentiable ArchiTecture Approximation.

[BibT_eX]

[DOI]

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

2018

DeepDefense: Training Deep Neural Networks with Improved Robustness.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Defense: Training DNNs with Improved Adversarial Robustness.

[BibT_eX]

[DOI]

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

Sparse DNNs with Improved Adversarial Robustness.

[BibT_eX]

[DOI]

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

2017

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Network Sketching: Exploiting Binary Structure in Deep CNNs.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Sufficient Canonical Correlation Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Dynamic Network Surgery for Efficient DNNs.

[BibT_eX]

[DOI]

Anbang Yao

Yurong Chen

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

2015

MiLDA: A graph embedding approach to multi-view face recognition.

[BibT_eX]

[DOI]