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20242026
most citedSteganography Beyond Space-Time with Chain of Multimodal AI

6 citations · 16 across the 22 of their papers we have counts for

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cs.AI2024★ 6 cited

Steganography in Game Actions

Ching-Chun Chang, Isao Echizen

The exchange of messages has always carried with it the timeless challenge of secrecy. From whispers in shadows to the enigmatic notes written in the margins of history, humanity h…

cs.CR2024

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery

Ching-Chun Chang, Kai Gao, Shuying Xu +3

Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of arti…

cs.CV2024

Agentic Copyright Watermarking against Adversarial Evidence Forgery with Purification-Agnostic Curriculum Proxy Learning

Erjin Bao, Ching-Chun Chang, Hanrui Wang +1

With the proliferation of AI agents in various domains, protecting the ownership of AI models has become crucial due to the significant investment in their development. Unauthorize…

cs.CR2024

Minimal Cascade Gradient Smoothing for Fast Transferable Preemptive Adversarial Defense

Hanrui Wang, Ching-Chun Chang, Chun-Shien Lu +3

Adversarial attacks persist as a major challenge in deep learning. While training- and test-time defenses are well-studied, they often reduce clean accuracy, incur high cost, or fa…

cs.CV2024★ 3 cited

Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation

Fatma Shalabi, Huy H. Nguyen, Hichem Felouat +2

Misinformation has become a major challenge in the era of increasing digital information, requiring the development of effective detection methods. We have investigated a novel app…

cs.LG2024

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off

Futa Waseda, Ching-Chun Chang, Isao Echizen

Adversarial training often suffers from a robustness-accuracy trade-off, where achieving high robustness comes at the cost of accuracy. One approach to mitigate this trade-off is l…

cs.CL2024

Enhancing Robustness of LLM-Synthetic Text Detectors for Academic Writing: A Comprehensive Analysis

Zhicheng Dou, Yuchen Guo, Ching-Chun Chang +2

The emergence of large language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4) used by ChatGPT, has profoundly impacted the academic and broader community. Whi…