Search Results for author: Haibo Jin

Found 15 papers, 7 papers with code

GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models

no code implementations5 Feb 2024 Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, Haohan Wang

Our system of different roles will leverage this knowledge graph to generate new jailbreaks, which have proved effective in inducing LLMs to generate unethical or guideline-violating responses.

Sentence

Unsupervised Domain Adaptation for Anatomical Landmark Detection

1 code implementation25 Aug 2023 Haibo Jin, Haoxuan Che, Hao Chen

The framework leverages self-training and domain adversarial learning to address the domain gap during adaptation.

Unsupervised Domain Adaptation

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

1 code implementation24 Aug 2023 Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

To address these challenges, we propose diagnosis-driven prompts for medical report generation (PromptMRG), a novel framework that aims to improve the diagnostic accuracy of MRG with the guidance of diagnosis-aware prompts.

Medical Report Generation

CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space

no code implementations18 Jul 2023 Haibin Zheng, Jinyin Chen, Haibo Jin

Therefore, it is crucial to identify the misbehavior of DNN-based software and improve DNNs' quality.

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

1 code implementation10 Jul 2023 Haoxuan Che, YuHan Cheng, Haibo Jin, Hao Chen

Diabetic Retinopathy (DR) is a common complication of diabetes and a leading cause of blindness worldwide.

Diabetic Retinopathy Grading Domain Generalization

TraffNet: Learning Causality of Traffic Generation for What-if Prediction

1 code implementation28 Mar 2023 Ming Xu, Qiang Ai, Ruimin Li, Yunyi Ma, Geqi Qi, Xiangfu Meng, Haibo Jin

Real-time what-if traffic prediction is crucial for decision making in intelligent traffic management and control.

Decision Making Management +1

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking

no code implementations25 Mar 2023 Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng

To address the issues, we introduce the concept of local gradient, and reveal that adversarial examples have a quite larger bound of local gradient than the benign ones.

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

no code implementations9 Jul 2022 Haoxuan Che, Haibo Jin, Hao Chen

However, prior works either grade DR or DME independently, without considering internal correlations between them, or grade them jointly by shared feature representation, yet ignoring potential generalization issues caused by difficult samples and data bias.

Disentanglement

Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons

1 code implementation12 Feb 2022 Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Xianglong Liu

By maximizing the number of excitable neurons concerning various wrong behaviors of models, DeepSensor can generate testing examples that effectively trigger more errors due to adversarial inputs, polluted data and incomplete training.

Image Classification Speaker Recognition

CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing

no code implementations24 Dec 2021 Haibo Jin, Ruoxi Chen, Jinyin Chen, Yao Cheng, Chong Fu, Ting Wang, Yue Yu, Zhaoyan Ming

Existing DNN testing methods are mainly designed to find incorrect corner case behaviors in adversarial settings but fail to discover the backdoors crafted by strong trojan attacks.

DNN Testing

NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks

no code implementations24 Dec 2021 Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng, Yue Yu, Shouling Ji

From the perspective of image feature space, some of them cannot reach satisfying results due to the shift of features.

Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild

2 code implementations8 Mar 2020 Haibo Jin, Shengcai Liao, Ling Shao

The proposed model is equipped with a novel detection head based on heatmap regression, which conducts score and offset predictions simultaneously on low-resolution feature maps.

Domain Generalization Face Alignment +2

Deep Person Re-Identification with Improved Embedding and Efficient Training

1 code implementation9 May 2017 Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li

However, to achieve this, existing deep models prefer to adopt image pairs or triplets to form verification loss, which is inefficient and unstable since the number of training pairs or triplets grows rapidly as the number of training data grows.

Person Re-Identification

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