Imtiaz Karim
Computer Science · Purdue University West Lafayette
Publications
50
Citations
310
Est. group size
~7
Recurring co-author estimate
Active years
13
Publishing since 2014
Imtiaz Karim works on the security of wireless and mobile network systems, especially 5G cellular networks, WiFi, and related protocols. Their research involves finding and analyzing vulnerabilities in these networks, building tools to automatically test and verify network security, and exploring emerging security concerns such as malware generation with large language models and privacy in AI applications. The work generally combines formal analysis, systematic security testing frameworks, and practical attack/defense demonstrations.
Publication output was low and sporadic before 2022 but increased sharply starting in 2023, suggesting a growing and currently active research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- VWAttacker: A Systematic Security Testing Framework for Voice over WiFi User Equipments
2026
- Breaking 5G on The Lower Layer
Open MIND · 2026
- Breaking 5G on The Lower Layer
arXiv (Cornell University) · 2026
- Mission Explainable: From Feature Attribution to Mitigation in 5G Anomaly Detection
2026
- Tracing Users' Privacy Concerns Across the Lifecycle of a Romantic AI Companion
arXiv (Cornell University) · 2026
- Extracting Formal Models From 5G Specifications For Security Analysis
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Extracting Formal Models From 5G Specifications For Security Analysis
Zenodo (CERN European Organization for Nuclear Research) · 2026
- WCDCAnalyzer: Scalable Security Analysis of Wi-Fi Certified Device Connectivity Protocols
2026
- A Lightweight Post-Quantum Authentication Framework for 5G Base Station Bootstrapping
arXiv (Cornell University) · 2026
- A Lightweight Post-Quantum Authentication Framework for 5G Base Station Bootstrapping
arXiv (Cornell University) · 2026
- Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
2025
- LLMalMorph: On the Feasibility of Generating Variant Malware Using Large-Language-Models
2025
- Security Opportunities and Challenges for Disaggregated Architectures (Invited)
2025
- LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
arXiv (Cornell University) · 2025
- How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
arXiv (Cornell University) · 2025
- Synthesis lectures on information security, privacy, and trust×11
- arXiv (Cornell University)×11
- Zenodo (CERN European Organization for Nuclear Research)×2
- Journal of Network and Computer Applications×1
- Digital Threats Research and Practice×1
- Charalampos Katsis
Computer Science · Purdue University West Lafayette
- Bharat Bhargava
Computer Science · Purdue University West Lafayette
- Ankit Shah
Computer Science · Indiana University
- Anand Mudgerikar
Computer Science · Purdue University West Lafayette
- Upinder Kaur
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile