Ching-Yu Kao

According to our database, Ching-Yu Kao authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder (Full Version).

Wei Herng Choong, Jixing Liu, Ching-Yu Kao, Philip Sperl

CoRR, August, 2025

Using LLMs to Identify Personal Data Processing in Source Code.

Immanuel Kunz, Ching-Yu Kao, Daniel Kowatsch, Jens Hiller, Julian Schütte, Dmitry Prokhorenkov, Konstantin Böttinger

Proceedings of the 2025 IEEE Security and Privacy, 2025

2024

Near Real-Time Detection and Rectification of Adversarial Patches.

Ching-Yu Kao, Iheb Ghanmi, Houcemeddine Ben Ayed, Ayush Kumar, Konstantin Böttinger

Proceedings of the Advances in Information and Communication, 2024

2022

Visualizing Automatic Speech Recognition - Means for a Better Understanding?

Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger

CoRR, 2022

Comparing Unsupervised Detection Algorithms for Audio Adversarial Examples.

Shanatip Choosaksakunwiboon, Karla Pizzi, Ching-Yu Kao

Proceedings of the Speech and Computer - 24th International Conference, 2022

Real or Fake? A Practical Method for Detecting Tempered Images.

Ching-Yu Kao, Hongjia Wan, Karla Markert, Konstantin Böttinger

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Rectifying adversarial inputs using XAI techniques.

Ching-Yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger

Proceedings of the 30th European Signal Processing Conference, 2022

2020

DLA: Dense-Layer-Analysis for Adversarial Example Detection.

Philip Sperl, Ching-Yu Kao, Peng Chen, Xiao Lei, Konstantin Böttinger

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

2019

DLA: Dense-Layer-Analysis for Adversarial Example Detection.

Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger

CoRR, 2019

Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography.

Felix Fischer, Huang Xiao, Ching-yu Kao, Yannick Stachelscheid, Benjamin Johnson, Danial Razar, Paul Fawkesley, Nat Buckley, Konstantin Böttinger, Paul Muntean, Jens Grossklags

Proceedings of the 28th USENIX Security Symposium, 2019

Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior.

Severin Engelmann, Mo Chen, Felix Fischer, Ching-yu Kao, Jens Grossklags

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019