Mobile Learning: A Pedagogical Framework to Facilitate Distributed Learning through Collaborative Approach for Enhancing English Language Communication Skills. - Baishali Mitra; Sandhya Kode; Aravind Cheruvu (T4E, 2015)

Kaala vrksha: extending vrksha for time profiled temporal association mining. - Vangipuram Radhakrishna; Shadi A. Aljawarneh; Puligadda Veereswara Kumar; Aravind Cheruvu (DATA, 2018)

VRKSHA: a novel tree structure for time-profiled temporal association mining. - Shadi A. Aljawarneh; Vangipuram Radhakrishna; Aravind Cheruvu (Neural Comput. Appl., 2020)

Similarity Association Pattern Mining in Transaction Databases. - M. S. B. PhridviRaj; C. V. Guru Rao; Vangipuram Radhakrishna; Aravind Cheruvu (DATA, 2021)

A Survey of Similarity Measures for Time stamped Temporal Datasets. - Aravind Cheruvu; Vangipuram Radhakrishna (DATA, 2021)

A First Look at Toxicity Injection Attacks on Open-domain Chatbots. - Connor Weeks; Aravind Cheruvu; Sifat Muhammad Abdullah; Shravya Kanchi; Daphne Yao; Bimal Viswanath (ACSAC, 2023)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape. - Sifat Muhammad Abdullah; Aravind Cheruvu; Shravya Kanchi; Taejoong Chung; Peng Gao 008; Murtuza Jadliwala; Bimal Viswanath (SP, 2024)

TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data. - Aravind Cheruvu; Shravya Kanchi; Sifat Muhammad Abdullah; Nicholas Kong; Daphne Yao; Murtuza Jadliwala; Bimal Viswanath (CoRR, 2025)

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI. - Shravya Kanchi; Neal Mangaokar; Aravind Cheruvu; Sifat Muhammad Abdullah; Shirin Nilizadeh; Atul Prakash 001; Bimal Viswanath (CoRR, 2025)