Sravanti Addepalli

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Visual Representations

Singleton Arc Consistency

Top Venues

Publications

Sravanti Addepalli, Priyam Dey, R. Venkatesh Babu
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. CoRR (2024)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR (2023)
Samyak Jain, Sravanti Addepalli, Pawan Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR (2023)
Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu
RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR (2023)
Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR (2023)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops (2023)
Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR (2023)
Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR (2023)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR (2023)
Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) (2022)
Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
Towards Data-Free Model Stealing in a Hard Label Setting. CVPR (2022)
Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.
Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS (2022)
Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
Towards Data-Free Model Stealing in a Hard Label Setting. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) (2022)
Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR (2022)
Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. CoRR (2022)
Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops (2021)
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
Towards Efficient and Effective Adversarial Training. NeurIPS (2021)
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. NeurIPS (2020)
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP (2020)
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR (2020)
Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR (2020)
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI (2020)
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR (2020)
Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR (2020)
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR (2019)
Tz-Yi Liu, Tian Hong Yan, Roy Scheuerlein, Yingchang Chen, Jeffrey KoonYee Lee, Gopinath Balakrishnan, Gordon Yee, Henry Zhang, Alex Yap, Jingwen Ouyang, Takahiko Sasaki, Sravanti Addepalli, Ali Al-Shamma, Chin-Yu Chen, Mayank Gupta, Greg Hilton, Saurabh Joshi, Achal Kathuria, Vincent Lai, Deep Masiwal, Masahide Matsumoto, Anurag Nigam, Anil Pai, Jayesh Pakhale, Chang Hua Siau, Xiaoxia Wu, Ronald Yin, Liping Peng, Jang Yong Kang, Sharon Huynh, Huijuan Wang, Nicolas Nagel, Yoichiro Tanaka, Masaaki Higashitani, Tim Minvielle, Chandu Gorla, Takayuki Tsukamoto, Takeshi Yamaguchi, Mutsumi Okajima, Takayuki Okamura, Satoru Takase, Takahiko Hara, Hirofumi Inoue, Luca Fasoli, Mehrdad Mofidi, Ritu Shrivastava, Khandker Quader
2-layer 32Gb ReRAM memory device in 24nm technology. ISSCC (2013)