Cho‐Yu Jason Chiang

Computer Science · Physical Sciences

10h-index394citations52works0.32yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Network Security and Intrusion Detection(15), Mobile Ad Hoc Networks(12), Opportunistic and Delay-Tolerant Networks(11), Software-Defined Networks and 5G(10), Advanced Malware Detection Techniques(10)

Publications52 total

CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
arXiv (Cornell University)·2025Open Access
Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction
2025
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs
arXiv (Cornell University)·2024· 1 citedOpen Access
VulnerVAN: Automating the Generation of Vulnerable Network Scenarios for Cybersecurity Events and Training Exercises
2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
arXiv (Cornell University)·2021· 2 citedOpen Access
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed\n Distributions
arXiv (Cornell University)·2021· 5 citedOpen Access
A Quantitative Framework to Model Reconnaissance by Stealthy Attackers and Support Deception-Based Defenses
2020· 8 cited
A Framework for Studying Autonomic Computing Models in Cyber Deception
2020· 1 cited
Generating targeted e-mail at scale using neural machine translation
2019· 2 cited
VulnerVAN: A Vulnerable Network Generation Tool
2019· 5 cited
Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples
Lecture notes in computer science·2019· 50 cited
Measuring the Effectiveness of Network Deception
2018· 9 cited
DeBot: A novel network‐based mechanism to detect exfiltration by architectural stealthy botnets
Security and Privacy·2018· 4 citedOpen Access
On Detecting Manifestation of Adversary Characteristics
2018· 8 cited
On Defensive Cyber Deception: A Case Study Using SDN
2018· 20 cited
Towards the Development of Robust Deep Neural Networks in Adversarial Settings
2018· 4 cited
Limitations of the Lipschitz constant as a defense against adversarial examples
arXiv (Cornell University)·2018· 10 citedOpen Access
ROP Defense in the Cloud through LIve Text Page-level Re-ordering - The LITPR System
2017Open Access
ACyDS: An adaptive cyber deception system
2016· 35 cited
Enabling reproducible cyber research - four labeled datasets
2016· 14 cited
page 1 of 3Next →

Frequent Co-authors

Ritu Chadha(35), Constantin Serban(14), Alex Poylisher(12), Sridhar Venkatesan(9), Shridatt Sugrim(8), Scott Newman(7), Richard Lo(7), Yitzchak M. Gottlieb(6), Todd Huster(5), John Lee(5), Jason A. Youzwak(5), Michelle Wolberg(5), Angelo Sapello(5), E. Allison Newcomb(4), Gary Levin(4), Shih-Wei Li(4), Massimiliano Albanese(4), Charles Kamhoua(4), Nandi Leslie(4), Alexander Poylisher(4)