Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks. - Abhishek Gupta; Zhaoyuan Yang (CoRR, 2018)

Design of intentional backdoors in sequential models. - Zhaoyuan Yang; Naresh Iyer; Johan Reimann; Nurali Virani (CoRR, 2019)

Justification-Based Reliability in Machine Learning. - Nurali Virani; Naresh Iyer; Zhaoyuan Yang (AAAI, 2020)

Empirical Confidence Models for Supervised Machine Learning. - Margarita P. Castro; Meinolf Sellmann; Zhaoyuan Yang; Nurali Virani (Canadian AI, 2020)

Variational Encoder-Based Reliable Classification. - Chitresh Bhushan; Zhaoyuan Yang; Nurali Virani; Naresh Iyer (ICIP, 2020)

Adversarial Vulnerability in Doppler-based Human Activity Recognition. - Zhaoyuan Yang; Yang Zhao 020; Weizhong Yan (IJCNN, 2020)

On Adversarial Vulnerability of PHM algorithms: An Initial Study. - Weizhong Yan; Zhaoyuan Yang; Jianwei Qiu (CoRR, 2021)

K-Modes Clustering Algorithm Based on Weighted Overlap Distance and Its Application in Intrusion Detection. - Yawen Dai; Guanghui Yuan; Zhaoyuan Yang; Bin Wang (Sci. Program., 2021)

Dropout Inference with Non-Uniform Weight Scaling. - Zhaoyuan Yang; Arpit Jain (CoRR, 2022)

Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles. - Zhaoyuan Yang; Yewteck Tan; Shiraj Sen; Johan Reimann; John Karigiannis; Mohammed Yousefhussien; Nurali Virani (CoRR, 2022)

Adaptive Test-Time Defense with the Manifold Hypothesis. - Zhaoyuan Yang; Zhiwei Xu; Jing Zhang 052; Richard I. Hartley; Peter H. Tu (CoRR, 2022)

Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. - Yun-Yun Tsai; Ju-Chin Chao; Albert Wen; Zhaoyuan Yang; Chengzhi Mao; Tapan Shah 004; Junfeng Yang (CoRR, 2023)

Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications. - Peter H. Tu; Zhaoyuan Yang; Richard I. Hartley; Zhiwei Xu; Jing Zhang 052; Dylan Campbell; Jaskirat Singh; Tianyu Wang (CoRR, 2023)

Transferable Attack for Semantic Segmentation. - Mengqi He; Jing Zhang 052; Zhaoyuan Yang; Mingyi He; Nick Barnes; Yuchao Dai (CoRR, 2023)

Probabilistic and semantic descriptions of image manifolds and their applications. - Peter H. Tu; Zhaoyuan Yang; Richard I. Hartley; Zhiwei Xu; Jing Zhang 052; Yiwei Fu; Dylan Campbell; Jaskirat Singh; Tianyu Wang (Frontiers Comput. Sci., 2023)

Adversarial Purification with the Manifold Hypothesis. - Zhaoyuan Yang; Zhiwei Xu; Jing Zhang 052; Richard I. Hartley; Peter H. Tu (AAAI, 2024)

Grounded Language Acquisition from Object and Action Imagery. - James Kubricht; Zhaoyuan Yang; Jianwei Qiu; Peter H. Tu (AVSS, 2024)

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models. - Xinyu Tian; Shu Zou; Zhaoyuan Yang; Jing Zhang 052 (CVPR, 2024)

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. - Zhaoyuan Yang; Zhengyang Yu; Zhiwei Xu; Jaskirat Singh; Jing Zhang 052; Dylan Campbell; Peter H. Tu; Richard Hartley 001 (ICLR, 2024)

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models. - Zhengyang Yu; Zhaoyuan Yang; Jing Zhang 052 (NeurIPS, 2024)

Identifying and Mitigating Position Bias of Multi-image Vision-Language Models. - Xinyu Tian; Shu Zou; Zhaoyuan Yang; Jing Zhang 052 (CVPR, 2025)

Probability Density Geodesics in Image Diffusion Latent Space. - Qingtao Yu; Jaskirat Singh; Zhaoyuan Yang; Peter Henry Tu; Jing Zhang 052; Hongdong Li; Richard I. Hartley; Dylan Campbell (CVPR, 2025)

Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition. - Xinyu Tian; Shu Zou; Zhaoyuan Yang; Mengqi He; Jing Zhang 052 (ICLR, 2025)

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. - Shu Zou; Xinyu Tian; Qinyu Zhao; Zhaoyuan Yang; Jing Zhang 052 (CoRR, 2025)