DD
Dinil Mon Divakaran
cs.CRcs.LGcs.NIcs.AIcs.SEcs.CLcs.CVcs.CYcs.DCcs.PL
On Valency
published · living versionsW_e9sv9gec·v1 · currentpublished
NetGuise: Adversarial Traffic Generation for Early-Stage Classifier Evasion
with Binghui Wu, Mohan Gurusamy
1 version
W_k9fqewdk·v1published
Preprints & journals
31 papers in the corpus · 2019–2026ExeBench-FHD: Addressing Fidelity Issues in Decompiler Evaluation2610.28212v1 · Akarsh Ashok, Dinil Mon Divakaran, Vivek Balachandran2026 · 0 citationsarXivon Valency
DarKnight: Retrieval-Guided Agentic Framework for Breaking Dark Web CAPTCHA Gates2610.19830v1 · Binghui Wu, Yeo Zi Yi, Darren Tan et al.2026 · 0 citationsarXiv
SoK: Are LLMs Reliable at Source Code Recovery? A Taxonomy and Empirical Evaluation2610.11556v1 · Varun Kohli, Lee Bing Cheng, Nur Hazim Ghazali et al.2026 · 0 citationsarXiv
The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs2610.03124v1 · Toluwani Aremu, Manit Baser, Mohan Gurusamy et al.2026 · 0 citationsarXiv
The Tokens Remember: When Tokenization Bypasses Knowledge Editing and Unlearning2609.29045v1 · Manit Baser, Aditya Nawal, Dinil Mon Divakaran et al.2026 · 0 citationsarXiv
Drishti: AI-Led Human-Directed Vulnerability Auditing for 5G Cores2608.30112v1 · Sriram Ramachandran, Levente Csikor, Dinil Mon Divakaran2026 · 0 citationsarXiv
CHISEL-ing Back Source Code with AI-enabled Iterative Recovery2608.27981v1 · Varun Kohli, N Raghava, Biplab Sikdar et al.2026 · 0 citationsarXiv
MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study2605.10763v1 · Tim Van hamme, Thomas Vissers, Javier Carnerero-Cano et al.2026 · 0 citationsarXiv
CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing2603.19297v2 · Manit Baser, Alperen Yildiz, Dinil Mon Divakaran et al.2026 · 0 citationsarXiv
RECTor: Robust and Efficient Correlation Attack on Tor2512.00436v1 · Binghui Wu, Dinil Mon Divakaran, Levente Csikor et al.2025 · 1 citationarXiv
Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models2506.17279v1 · Yash Sinha, Manit Baser, Murari Mandal et al.2025 · 0 citationsarXiv
ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs2506.01386v3 · Manit Baser, Dinil Mon Divakaran, Mohan Gurusamy2025 · 0 citationsTransactions on Machine Learning Research (01/2026)
AI-based Traffic Modeling for Network Security and Privacy: Challenges Ahead2503.22161v4 · Dinil Mon Divakaran2025 · 0 citationsarXiv
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security2503.04174v2 · Binghui Wu, Dinil Mon Divakaran, Mohan Gurusamy2025 · 3 citationsarXiv
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories2503.03586v2 · Alperen Yildiz, Sin G. Teo, Yiling Lou et al.2025 · 25 citationsarXiv
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs2408.09217v2 · Philipp Gysel, Candid Wuest, Kenneth Nwafor et al.2024 · 5 citationsarXiv
Multimodal Large Language Models for Phishing Webpage Detection and Identification2408.05941v1 · Jehyun Lee, Peiyuan Lim, Bryan Hooi et al.2024 · 33 citationsarXiv
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks2407.20361v4 · Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran et al.2024 · 26 citationsarXiv
LLMs for Cyber Security: New Opportunities2404.11338v1 · Dinil Mon Divakaran, Sai Teja Peddinti2024 · 5 citationsarXiv
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection2401.08363v1 · Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran et al.2024 · 3 citationsarXiv
The Evolution of DNS Security and Privacy2312.04577v1 · Levente Csikor, Dinil Mon Divakaran2023 · 0 citationsarXiv
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification2310.08036v2 · Binghui Wu, Philipp Gysel, Dinil Mon Divakaran et al.2023 · 10 citationsarXiv
Attacking logo-based phishing website detectors with adversarial perturbations2308.09392v2 · Jehyun Lee, Zhe Xin, Melanie Ng Pei See et al.2023 · 9 citationsarXiv
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review2205.07411v1 · Dinil Mon Divakaran, Adam Oest2022 · 52 citationsarXiv
SIERRA: Ranking Anomalous Activities in Enterprise Networks2203.16802v1 · Jehyun Lee, Farren Tang, Phyo May Thet et al.2022 · 5 citationsarXiv
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten2202.13585v1 · Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran et al.2022 · 32 citationsarXiv
A Step Towards On-Path Security Function Outsourcing2110.00250v1 · Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran et al.2021 · 1 citationarXiv
A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes2101.04338v1 · Geong Sen Poh, Dinil Mon Divakaran, Hoon Wei Lim et al.2021 · 12 citationsarXiv
DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation2012.03293v1 · Walid Aljoby, Xin Wang, Dinil Mon Divakaran et al.2020 · 0 citationsarXiv
On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch2011.09107v1 · Levente Csikor, Vipul Ujawane, Dinil Mon Divakaran2020 · 2 citationsarXiv
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection1903.06661v1 · Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran et al.2019 · 176 citationsarXiv
Career total: 114 works. 31 are in this corpus.
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