● Simran Ketha, Venkatakrishnan Ramaswamy, On the Dynamics & Transferability of Latent Generalization during Memorization, Transactions on Machine Learning Research, 2026.

● Simran Ketha, Venkatakrishnan Ramaswamy, Decoding Generalization from Memorization in Deep Neural Networks, Transactions on Machine Learning Research, 2026.

● Simran Ketha, Nuthan Mummani, Niranjan Rajesh, Venkatakrishnan Ramaswamy, Adversarially-robust probes for Deep Networks, 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Reliable ML from Unreliable Data.

● Simran Ketha, Venkatakrishnan Ramaswamy, Extracting Latent Generalization from Models Trained with Noisy Labels, 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Reliable ML from Unreliable Data.

● Nuthan Mummani, Simran Ketha, Venkatakrishnan Ramaswamy, Peter Parker or Spiderman? Disambiguating Multiple Class Labels, 38th Conference on Neural Information Processing Systems (NeurIPS 2024). ATTRIB Workshop.

● Sai Aparna, T., Simran, K., Premjith, B., & Soman, K. P. (2021). Aspect-Based Sentiment Analysis in Hindi: Comparison of Machine/Deep Learning Algorithms. In Inventive Computation and Information Technologies (pp. 81-91). Springer, Singapore.

● Srinivasan, S., Ravi, V., Alazab, M., Ketha, S., Al-Zoubi, A. M., & Kotti Padannayil, S. (2021). Spam emails detection based on distributed word embedding with deep learning. In Machine intelligence and big data analytics for cybersecurity applications (pp. 161-189). Springer, Cham.

● Ravi, Vinayakumar & Alazab, Mamoun & Kp, Soman & Srinivasan, Sriram & Venkatraman, Sitalakshmi & Pham, Quoc-Viet & Ketha, Simran. (2021). Deep Learning for Cyber Security Applications: A Comprehensive Survey. 10.36227/techrxiv.16748161.

● Vinayakumar, R., Alazab, M., Srinivasan, S., Pham, Q. V., Padannayil, S. K., & Simran, K. (2020). A visualized botnet detection system based deep learning for the Internet of Things networks of smart cities. IEEE Transactions on Industry Applications, 56(4), 4436-4456.

● Sriram, S., Simran, K., Vinayakumar, R., Akarsh, S., & Soman, K. P. (2019, December). Towards evaluating the robustness of deep intrusion detection models in adversarial environment. In International Symposium on Security in Computing and Communication (pp. 111-120). Springer, Singapore.

● Simran, K., Balakrishna, P., Vinayakumar, R., & Soman, K. P. (2019, December). Deep Learning Based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis. In International Conference on Computational Intelligence, Cyber Security, and Computational Models (pp. 93-104). Springer, Singapore.

● Simran, K., Balakrishna, P., Vinayakumar, R., & Soman, K. P. (2019, December). Deep learning approach for enhanced cyber threat indicators in Twitter stream. In International Symposium on Security in Computing and Communication(pp.135-145). Springer, Singapore.

● Simran, K., Sriram, S., Vinayakumar, R., & Soman, K. P. (2019, December). Deep learning approach for intelligent named entity recognition of cyber security. In International Symposium on Signal Processing and Intelligent Recognition Systems (pp. 163-172). Springer, Singapore.

● Akarsh, S., Simran, K., Poornachandran, P., Menon, V. K., & Soman, K. P. (2019, March). Deep learning framework and visualization for malware classification. In 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) (pp. 1059-1063). IEEE.

News

● Won the 1st Prize (joint) in the IndoML 2025 Grad Forum from among a field of ~70 posters, with the other winners being from IIT Kanpur, IIT Bombay and IIT Kharagpur.

● Won the Best poster presentation in Department of Computer Science and Information Systems in Vidwanotsav-2023.

● Compered for “ACM India Celebration of Women in Computing” event being organized by Department of Computer Science and Information Systems, BITS-Pilani, Hyderabad on October 8th 2022.

● Succesfully completed my PhD Proposal Seminar with topic titled “Selectivity, Discriminability and Ablation in Deep Neural Networks” on April, 27th 2022.

● Successfully attended and completed “Deep learning summer school 2021” held by Neuromatch Academy. Project was on Investigating the visual information in different brain regions where we trained voxel-wise model to predict fMRI responses in different brain regions from Alexnet model.

● Successfully attended and completed Neuromatch Academy Summer schools for “Computational neuroscience 2021” held by Neuromatch Academy. Project titled “Through the Eye of the Principal Component Needle: Using PCA to Understand V1 Responses”.

● Attended IndoML Symposium 2021, held from december 16-18, 2021.

● Successfully passed PhD Qualification Examination held in March-April 2021 at BITS Pilani, Hyderabad Campus.

● Attended Google Research India Graduate Symposium, held from April 7-10, 2021.

● Got selected for institute fellowship to purse full-time PhD at BITS-Pilani, Hyderabad campus from November,2020.

● Attended Indo-French Joint Workshop on Statistics and Artificial Intelligence for Data Science (SAIDS-2020) organized by Centre for Artificial Intelligence and Machine Learning, ISI-Kolkata.

● Attended FDP on Deep learning & its Applications conducted by IT-Warangal.

● Attended FDP on Machine Learning with Business Applications conducted by IIM-Bangalore, India.