16 citations · 29 across the 3 of their papers we have counts for
4 papers
Towards Calibration Enhanced Network by Inverse Adversarial Attack
Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi +3
Test automation has become increasingly important as the complexity of both design and content in Human Machine Interface (HMI) software continues to grow. Current standard practic…
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Binyu Tian, Qing Guo, Felix Juefei-Xu +5
The chest X-ray plays a key role in screening and diagnosis of many lung diseases including the COVID-19. More recently, many works construct deep neural networks (DNNs) for chest…
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading
Yupeng Cheng, Qing Guo, Felix Juefei-Xu +3
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to au…
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
Yupeng Cheng, Qing Guo, Felix Juefei-Xu +4
Image denoising can remove natural noise that widely exists in images captured by multimedia devices due to low-quality imaging sensors, unstable image transmission processes, or l…