Copyright Protection and Accountability of Generative AI:Attack, Watermarking and Attribution

no code implementations • 15 Mar 2023 • Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Pathum Chamikara Mahawaga Arachchige, Chehara Pathmabandu, Minhui Xue

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Profiler: Profile-Based Model to Detect Phishing Emails

no code implementations • 18 Aug 2022 • Mariya Shmalko, Alsharif Abuadbba, Raj Gaire, Tingmin Wu, Hye-Young Paik, Surya Nepal

The Profiler does not require large data sets to train on to be effective and its analysis of varied email features reduces the impact of concept drift.

Email Summarization to Assist Users in Phishing Identification

no code implementations • 24 Mar 2022 • Amir Kashapov, Tingmin Wu, Alsharif Abuadbba, Carsten Rudolph

Cyber-phishing attacks recently became more precise, targeted, and tailored by training data to activate only in the presence of specific information or cues.

RAIDER: Reinforcement-aided Spear Phishing Detector

no code implementations • 17 May 2021 • Keelan Evans, Alsharif Abuadbba, Tingmin Wu, Kristen Moore, Mohiuddin Ahmed, Ganna Pogrebna, Surya Nepal, Mike Johnstone

RAIDER also keeps the number of features to a minimum by selecting only the significant features to represent phishing emails and detect spear-phishing attacks.

Binary Classification reinforcement-learning +1

Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity

no code implementations • 26 Jun 2020 • Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cecile Paris, Surya Nepal, Yang Xiang

We further compare the identified 16 security categories across different sources based on their popularity and impact.