19 citations · 37 across the 11 of their papers we have counts for
11 papers
Transferable Attack for Semantic Segmentation
Mengqi He, Jing Zhang, Zhaoyuan Yang +3
We analysis performance of semantic segmentation models wrt. adversarial attacks, and observe that the adversarial examples generated from a source model fail to attack the target…
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
Peter Tu, Zhaoyuan Yang, Richard Hartley +6
This paper begins with a description of methods for estimating image probability density functions that reflects the observation that such data is usually constrained to lie in res…
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder
Yun-Yun Tsai, Ju-Chin Chao, Albert Wen +4
Training-time defenses, known as adversarial training, incur high training costs and do not generalize to unseen attacks. Test-time defenses solve these issues but most existing te…
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang +2
In this work, we formulate a novel framework for adversarial robustness using the manifold hypothesis. This framework provides sufficient conditions for defending against adversari…
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles
Zhaoyuan Yang, Yewteck Tan, Shiraj Sen +4
Off-road autonomous unmanned ground vehicles (UGVs) are being developed for military and commercial use to deliver crucial supplies in remote locations, help with mapping and surve…
Dropout Inference with Non-Uniform Weight Scaling
Zhaoyuan Yang, Arpit Jain
Dropout as regularization has been used extensively to prevent overfitting for training neural networks. During training, units and their connections are randomly dropped, which co…
On Adversarial Vulnerability of PHM algorithms: An Initial Study
Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
With proliferation of deep learning (DL) applications in diverse domains, vulnerability of DL models to adversarial attacks has become an increasingly interesting research topic in…
Variational Encoder-based Reliable Classification
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani +1
Machine learning models provide statistically impressive results which might be individually unreliable. To provide reliability, we propose an Epistemic Classifier (EC) that can pr…
Justification-Based Reliability in Machine Learning
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
With the advent of Deep Learning, the field of machine learning (ML) has surpassed human-level performance on diverse classification tasks. At the same time, there is a stark need…
Design of intentional backdoors in sequential models
Zhaoyuan Yang, Naresh Iyer, Johan Reimann +1
Recent work has demonstrated robust mechanisms by which attacks can be orchestrated on machine learning models. In contrast to adversarial examples, backdoor or trojan attacks embe…
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks
Abhishek Gupta, Zhaoyuan Yang
Complex autonomous control systems are subjected to sensor failures, cyber-attacks, sensor noise, communication channel failures, etc. that introduce errors in the measurements. Th…