From ml to llm: Evaluating the robustness of phishing webpage detection models against adversarial attacks A Kulkarni, V Balachandran, DM Divakaran, T Das arXiv preprint arXiv:2407.20361, 2024 | 5 | 2024 |
Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques A Kulkarni, V Balachandran, T Das IEEE Communications Surveys & Tutorials, 2024 | 4 | 2024 |
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection A Kulkarni, V Balachandran, DM Divakaran, T Das 2024 16th International Conference on COMmunication Systems & NETworkS …, 2024 | 1 | 2024 |
Bridging the gap in phishing detection: A comprehensive phishing dataset collector A Kulkarni, SM Patel, SP Tirrnare, V Balachandran, T Das 2023 IEEE International Conference on Service Operations and Logistics, and …, 2023 | 1 | 2023 |
Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation D Hriday, A Kulkarni, V Balachandran, T Das 2025 17th International Conference on COMmunication Systems and NETworks …, 2025 | | 2025 |
ODoQ: Oblivious DNS-over-QUIC A Kulkarni, T Das, V Balachandran Singapore Institute of Technology, 2025 | | 2025 |