Wireless spreading of WiFi APs infections using WPS flaws: An epidemiological and experimental study. - Amirali Sanatinia; Sashank Narain; Guevara Noubir (CNS, 2013)

Single-stroke language-agnostic keylogging using stereo-microphones and domain specific machine learning. - Sashank Narain; Amirali Sanatinia; Guevara Noubir (WISEC, 2014)

Inferring User Routes and Locations Using Zero-Permission Mobile Sensors. - Sashank Narain; Triet D. Vo-Huu; Kenneth Block; Guevara Noubir (IEEE Symposium on Security and Privacy, 2016)

An autonomic and permissionless Android covert channel. - Kenneth Block; Sashank Narain; Guevara Noubir (WISEC, 2017)

The Perils of User Tracking Using Zero-Permission Mobile Apps. - Sashank Narain; Triet D. Vo-Huu; Kenneth Block; Guevara Noubir (IEEE Secur. Priv., 2017)

Security of GPS/INS Based On-road Location Tracking Systems. - Sashank Narain; Aanjhan Ranganathan; Guevara Noubir (IEEE Symposium on Security and Privacy, 2019)

A Billion Open Interfaces for Eve and Mallory: MitM, DoS, and Tracking Attacks on iOS and macOS Through Apple Wireless Direct Link. - Milan Stute; Sashank Narain; Alex Mariotto; Alexander Heinrich; David Kreitschmann; Guevara Noubir; Matthias Hollick (USENIX Security Symposium, 2019)

Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing. - Sashank Narain; Guevara Noubir (Proc. Priv. Enhancing Technol., 2019)

Linking Bluetooth LE & Classic and Implications for Privacy-Preserving Bluetooth-Based Protocols. - Norbert Ludant; Tien Dang Vo-Huu; Sashank Narain; Guevara Noubir (SP, 2021)

CryptoScratch: Developing and evaluating a block-based programming tool for teaching K-12 cryptography education using Scratch. - Nathan Percival; Pranathi Rayavaram; Sashank Narain; Claire Seungeun Lee (EDUCON, 2022)

AlgoScratch - Simplifying Data Structures and Algorithms Education using Block-based Programming. - Ashwin Jagadeesha; Pranathi Rayavaram; Mounika Bonam; Sashank Narain; Claire Seungeun Lee (ITiCSE (2), 2022)

CryptoScratch: Teaching Cryptography with Block-based Coding. - Nathan Percival; Pranathi Rayavaram; Sashank Narain; Claire Seungeun Lee (SIGCSE (2), 2022)

Clang __usercall: towards native support for user defined calling conventions. - Jared Q. Widberg; Sashank Narain; Yimin Chen 004 (ESEC/SIGSOFT FSE, 2022)

Integrating Data Structures and Algorithms in K-12 Education using Block-based Programming. - Ashwin Jagadeesha; Pranathi Rayavaram; Justin Marwad; Sashank Narain; Claire Seungeun Lee (EDUCON, 2023)

Designing a Visual Cryptography Curriculum for K-12 Education. - Pranathi Rayavaram; Sreekriti Sista; Ashwin Jagadeesha; Justin Marwad; Nathan Percival; Sashank Narain; Claire Seungeun Lee (EDUCON, 2023)

Designing a Visual Cryptography Curriculum for K-12 Education. - Pranathi Rayavaram; Ashwin Jagadeesha; Sashank Narain; Claire Seungeun Lee (SIGCSE (2), 2023)

Modern Cryptography Education of Middle School Students: A Review of Current Works. - Nathan Percival; Sashank Narain; Claire Seungeun Lee (SIGITE, 2023)

SkinSense: Efficient Vibration-based Communications Over Human Body Using Motion Sensors. - Raveen Wijewickrama; Sameer Anis Dohadwalla; Anindya Maiti; Murtuza Jadliwala; Sashank Narain (CoRR, 2023)

SkinSense: Efficient vibration-based communications over human body using motion sensors. - Raveen Wijewickrama; Sameer Anis Dohadwalla; Anindya Maiti; Murtuza Jadliwala; Sashank Narain (Internet Things, 2023)

Introducing Children to AI and ML with Five Software Exhibits. - Saniya Vahedian Movahed; James Dimino; Andrew Farrell; Elyas Irankhah; Srija Ghosh; Garima Jain; Vaishali Mahipal; Pranathi Rayavaram; Ismaila Temitayo Sanusi; Erika Salas; Kelilah L. Wolkowicz; Sashank Narain; et al. (CHI Extended Abstracts, 2024)

Evaluating the Efficacy of Productivity Tools in Engineering Education. - Christopher Morales-Gonzalez; Matthew Harper; Pranathi Rayavaram; Manoj Yeddanapudi; Sashank Narain; Xinwen Fu (EDUCON, 2024)

Let's Go for a Drive: Exploring AI's Societal Impact in K-8 Education with an Interactive Self-Driving Car Tool. - Pranathi Rayavaram; Sashank Narain; Fred Martin (FIE, 2024)

Perception, Trust, Attitudes, and Models: Introducing Children to AI and Machine Learning with Five Software Exhibits. - Fred Martin; Saniya Vahedian Movahed; James Dimino; Andrew Farrell; Elyas Irankhah; Srija Ghosh; Garima Jain; Vaishali Mahipal; Pranathi Rayavaram; Ismaila Temitayo Sanusi; Erika Salas; Kelilah L. Wolkowicz; et al. (SIGCSE (2), 2024)

Visual CryptoED: A Role-Playing and Visualization Tool for K-12 Cryptography Education. - Pranathi Rayavaram; Sahithi Charitha Dindukuri; Krishna Vellamchety; Justin Marwad; Maryam Abbasalizadeh; Claire Seungeun Lee; Sashank Narain (SIGCSE (1), 2024)

Towards Transparent Intrusion Detection: A Coherence-Based Framework in Explainable AI Integrating Large Language Models. - Areej Alnahdi; Sashank Narain (TPS-ISA, 2024)

Privacy-Preserving Link Scheduling for Wireless Networks. - Maryam Abbasalizadeh; Jeffrey Chan; Pranathi Rayavaram; Yimin Chen 004; Sashank Narain (IEEE Access, 2024)

CryptoEL: A Novel Experiential Learning Tool for Enhancing K-12 Cryptography Education. - Pranathi Rayavaram; Ukaegbu Onyinyechukwu; Maryam Abbasalizadeh; Krishnaa Vellamchetty; Sashank Narain (CoRR, 2024)

Dynamic Link Scheduling in Wireless Networks Through Fuzzy-Enhanced Deep Learning. - Maryam Abbasalizadeh; Krishna Vellamchety; Pranathi Rayavaram; Sashank Narain (IEEE Open J. Commun. Soc., 2024)

Current Research, Challenges, and Future Directions in Stalkerware Detection Techniques for Mobile Ecosystems. - Mounika Bonam; Pranathi Rayavaram; Maryam Abbasalizadeh; Claire Seungeun Lee; April Pattavina; Sashank Narain (ICISSP (1), 2025)

Enhancing Cybersecurity Education using Scoring Engines: A Practical Approach to Hands-On Learning and Feedback. - Christopher Morales-Gonzalez; Matthew Harper; Pranathi Rayavaram; Sashank Narain; Xinwen Fu (SIGCSE (1), 2025)

Practical Cybersecurity Education: A Course Model Using Experiential Learning Theory. - Sashank Narain; Pranathi Rayavaram; Christopher Morales-Gonzalez; Matthew Harper; Maryam Abbasalizadeh; Krishnaa Vellamchety; Xinwen Fu (SIGCSE (1), 2025)

CryptoEL: A Novel Experiential Learning Tool for Enhancing K-12 Cryptography Education. - Pranathi Rayavaram; Ukaegbu Onyinyechukwu; Maryam Abbasalizadeh; Krishna Vellamchety; Sashank Narain (SIGCSE (1), 2025)

Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach. - Maryam Abbasalizadeh; Sashank Narain (IEEE Access, 2025)