13 citations · 27 across the 7 of their papers we have counts for
10 papers
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics
Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu +1
With the growing use of camera devices, the industry has many image datasets that provide more opportunities for collaboration between the machine learning community and industry.…
Non-Singular Adversarial Robustness of Neural Networks
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu +1
Adversarial robustness has become an emerging challenge for neural network owing to its over-sensitivity to small input perturbations. While being critical, we argue that solving t…
Privacy in Data Service Composition
Mahmoud Barhamgi, Charith Perera, Chia-Mu Yu +3
In modern information systems different information features, about the same individual, are often collected and managed by autonomous data collection services that may have differ…
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation
Chia-Mu Yu, Ching-Tang Chang, Yen-Wu Ti
Recent advances in AI technology have made the forgery of digital images and videos easier, and it has become significantly more difficult to identify such forgeries. These forgeri…
Locally Differentially Private Minimum Finding
Kazuto Fukuchi, Chia-Mu Yu, Arashi Haishima +1
We investigate a problem of finding the minimum, in which each user has a real value and we want to estimate the minimum of these values under the local differential privacy constr…
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen +1
Recent studies have found that deep learning systems are vulnerable to adversarial examples; e.g., visually unrecognizable adversarial images can easily be crafted to result in mis…