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SecTL@AsiaCCS 2024: Singapore

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, SecTL 2024, Singapore, July 2, 2024. ACM 2024, ISBN 979-8-4007-0691-2
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  - conf/sectl/PawlickiPKC24
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Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. 1-7
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Yanhui Liang:
SmartGenerator4UI: A Web Interface Element Recognition and HTML Generation System Based on Deep Learning and Image Processing. 8-15
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  - conf/sectl/BunzelGF24
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Niklas Bunzel, Nicolas Göller, Raphael Antonius Frick:
Identifying and Generating Edge Cases. 16-23
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Niklas Bunzel, Raphael Antonius Frick, Gerrit Klause, Aino Schwarte, Jonas Honermann:
Signals Are All You Need: Detecting and Mitigating Digital and Real-World Adversarial Patches Using Signal-Based Features. 24-34
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  - conf/sectl/NguyenWNYXR24
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Quan Hong Nguyen, Tingmin Wu, Van Nguyen, Xingliang Yuan, Jason Xue, Carsten Rudolph:
Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. 35-46
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  - conf/sectl/JinCSSYWHL24
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Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, Ziyao Liu:
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer. 47-55
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Takayuki Miura, Toshiki Shibahara, Naoto Yanai:
MEGEX: Data-Free Model Extraction Attack Against Gradient-Based Explainable AI. 56-66

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