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Conference and Workshop Papers
- 2022
[c6]Ching-Yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger:
Rectifying adversarial inputs using XAI techniques. EUSIPCO 2022: 573-577- [c5]Ching-Yu Kao, Hongjia Wan, Karla Markert, Konstantin Böttinger:
Real or Fake? A Practical Method for Detecting Tempered Images. IPAS 2022: 1-6 - [c4]Shanatip Choosaksakunwiboon, Karla Pizzi, Ching-Yu Kao:
Comparing Unsupervised Detection Algorithms for Audio Adversarial Examples. SPECOM 2022: 114-127 - 2020
- [c3]Philip Sperl
, Ching-Yu Kao, Peng Chen, Xiao Lei, Konstantin Böttinger:
DLA: Dense-Layer-Analysis for Adversarial Example Detection. EuroS&P 2020: 198-215 - 2019
- [c2]Severin Engelmann, Mo Chen, Felix Fischer, Ching-yu Kao, Jens Grossklags:
Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior. FAT 2019: 69-78 - [c1]Felix Fischer, Huang Xiao, Ching-yu Kao, Yannick Stachelscheid, Benjamin Johnson, Danial Razar, Paul Fawkesley, Nat Buckley, Konstantin Böttinger, Paul Muntean, Jens Grossklags:
Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography. USENIX Security Symposium 2019: 339-356
Informal and Other Publications
- 2022
- [i2]Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger:
Visualizing Automatic Speech Recognition - Means for a Better Understanding? CoRR abs/2202.00673 (2022) - 2019
- [i1]Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger:
DLA: Dense-Layer-Analysis for Adversarial Example Detection. CoRR abs/1911.01921 (2019)
Coauthor Index
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