Addepalli, Sravanti

21 publications

ICLR 2025 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

NeurIPSW 2024 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

CVPR 2024 Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu

TMLR 2024 ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan

ICMLW 2024 ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan

NeurIPS 2024 Time-Reversal Provides Unsupervised Feedback to LLMs Varun Yerram, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

CVPRW 2023 Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu

CVPR 2023 DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu

ICLR 2023 Feature Reconstruction from Outputs Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain

CVPR 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering with Language Biases Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu

ICMLW 2022 DAFT: Distilling Adversarially Fine-Tuned Teachers for OOD Robustness Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain

NeurIPS 2022 Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli, Samyak Jain, Venkatesh Babu R

NeurIPSW 2022 Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Praneeth Netrapalli, Venkatesh Babu Radhakrishnan, Prateek Jain

ECCV 2022 Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

CVPR 2022 Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu

ECCV 2022 Towards Efficient and Effective Self-Supervised Learning of Visual Representations Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu

CVPRW 2021 Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

ICMLW 2021 Towards Achieving Adversarial Robustness Beyond Perceptual Limits Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, Shivangi Khare, Venkatesh Babu Radhakrishnan

NeurIPS 2021 Towards Efficient and Effective Adversarial Training Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R

AAAI 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan

NeurIPS 2020 Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R