Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior. - Severin Engelmann; Mo Chen 003; Felix Fischer 001; Ching-yu Kao; Jens Grossklags (FAT, 2019)

Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography. - Felix Fischer 001; Huang Xiao; Ching-yu Kao; Yannick Stachelscheid; Benjamin Johnson 001; Danial Razar; Paul Fawkesley; Nat Buckley; Konstantin Böttinger; Paul Muntean 001; Jens Grossklags (USENIX Security Symposium, 2019)

DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Philip Sperl; Ching-yu Kao; Peng Chen; Konstantin Böttinger (CoRR, 2019)

DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Philip Sperl; Ching-Yu Kao; Peng Chen; Xiao Lei; Konstantin Böttinger (EuroS&P, 2020)

Rectifying adversarial inputs using XAI techniques. - Ching-Yu Kao; Junhao Chen; Karla Markert; Konstantin Böttinger (EUSIPCO, 2022)

Real or Fake? A Practical Method for Detecting Tempered Images. - Ching-Yu Kao; Hongjia Wan; Karla Markert; Konstantin Böttinger (IPAS, 2022)

Comparing Unsupervised Detection Algorithms for Audio Adversarial Examples. - Shanatip Choosaksakunwiboon; Karla Pizzi; Ching-Yu Kao (SPECOM, 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)

Near Real-Time Detection and Rectification of Adversarial Patches. - Ching-Yu Kao; Iheb Ghanmi; Houcemeddine Ben Ayed; Ayush Kumar; Konstantin Böttinger (FICC (2), 2024)

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 (SP (Workshops), 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, 2025)