Anindya Sarkar

According to our database, Anindya Sarkar authored at least 44 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attacks on Node Attributes in Graph Neural Networks.

Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik

CoRR, 2024

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Geospatial Active Search for Preventing Evictions.

Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

A Partially-Supervised Reinforcement Learning Framework for Visual Active Search.

Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

CoRR, 2022

Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise.

Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

How Powerful are K-hop Message Passing Graph Neural Networks.

Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reward Delay Attacks on Deep Reinforcement Learning.

Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang

Proceedings of the Decision and Game Theory for Security - 13th International Conference, 2022

A Framework for Learning Ante-hoc Explainable Models via Concepts.

Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach.

Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian

CoRR, 2021

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach.

Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian

CoRR, 2021

Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach.

Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Enhanced Regularizers for Attributional Robustness.

Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Data Augmentation Techniques for Time Series Data and its Benefits.

Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation.

Anindya Sarkar, Raghu Sesha Iyengar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation.

Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar

CoRR, 2019

Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT.

Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar

Proceedings of the NLPIR 2019: The 3rd International Conference on Natural Language Processing and Information Retrieval, Tokushima, Japan, June 28, 2019

Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer.

Mohamed Amgad, Anindya Sarkar, Chukka Srinivas, Rachel Redman, Simrath Ratra, Charles J. Bechert, Benjamin C. Calhoun, Karen Mrazeck, Uday Kurkure, Lee A. D. Cooper, Michael Barnes

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2014

Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei.

Kien Nguyen, Anindya Sarkar, Anil K. Jain

IEEE Trans. Medical Imaging, 2014

A robust method for inter-marker whole slide registration of digital pathology images using lines based features.

Anindya Sarkar, Quan Yuan, Chukka Srinivas

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Adaptive spectral unmixing for histopathology fluorescent images.

Ting Chen, Anindya Sarkar, Chukka Srinivas

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2012

Structure and Context in Prostatic Gland Segmentation and Classification.

Kien Nguyen, Anindya Sarkar, Anil K. Jain

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Discrimination of Black Tea Quality using Electronic Nose: A GA based approach.

Anindya Sarkar, Abhirup Saha, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

2010

Matrix embedding with pseudorandom coefficient selection and error correction for robust and secure steganography.

Anindya Sarkar, Upamanyu Madhow, B. S. Manjunath

IEEE Trans. Inf. Forensics Secur., 2010

Efficient and Robust Detection of Duplicate Videos in a Large Database.

Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, Bangalore S. Manjunath, Ambuj K. Singh

IEEE Trans. Circuits Syst. Video Technol., 2010

Image dependent log-likelihood ratio allocation for repeat accumulate code-based decoding in data hiding channels.

Anindya Sarkar, B. S. Manjunath

Proceedings of the Media Forensics and Security II, 2010

Improving re-sampling detection by adding noise.

Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath

Proceedings of the Media Forensics and Security II, 2010

Obtaining Higher Rates for Steganographic Schemes While Maintaining the Same Detectability.

Anindya Sarkar, Kaushal Solanki, B. S. Manjunath

Proceedings of the Information Hiding - 12th International Conference, 2010

Precise localization of key-points to identify local regions for robust data hiding.

Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath

Proceedings of the International Conference on Image Processing, 2010

2009

Detection of seam carving and localization of seam insertions in digital images.

Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath

Proceedings of the Multimedia and Security Workshop, 2009

Double embedding in the quantization index modulation framework.

Anindya Sarkar, Bangalore S. Manjunath

Proceedings of the International Conference on Image Processing, 2009

Adding Gaussian noise to "denoise" JPEG for detecting image resizing.

Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. Manjunath

Proceedings of the International Conference on Image Processing, 2009

2008

Further study on YASS: steganography based on randomized embedding to resist blind steganalysis.

Anindya Sarkar, Kaushal Solanki, B. S. Manjunath

Proceedings of the Security, 2008

Steganographic capacity estimation for the statistical restoration framework.

Anindya Sarkar, Kenneth Sullivan, B. S. Manjunath

Proceedings of the Security, 2008

Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding scheme.

Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath, Upamanyu Madhow

Proceedings of the International Conference on Image Processing, 2008

2007

UThe Vision Research Lab of UCSB at TRECVID 2007.

Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Adaptive MPEG-2 video data hiding scheme.

Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath

Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents IX, 2007

Feature fusion and redundancy pruning for rush video summarization.

Jim Kleban, Anindya Sarkar, Emily Moxley, Stephen Mangiat, Swapna Joshi, Thomas Kuo, B. S. Manjunath

Proceedings of the 1st ACM Workshop on Video Summarization, 2007

Online Evaluation of Steel Slab Quality in Production Phase by Surface Crack Image Segmentation using Relative Fuzzy Connectedness.

Arya K. Bhattacharya, Ashish Tiwari, Debjani Aditya, Utpal Nandi, Anindya Sarkar

Proceedings of the 2007 International Conference on Image Processing, 2007

YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis.

Kaushal Solanki, Anindya Sarkar, B. S. Manjunath

Proceedings of the Information Hiding, 9th International Workshop, 2007

Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation.

Anindya Sarkar, B. S. Manjunath

Proceedings of the International Conference on Image Processing, 2007

Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security.

Anindya Sarkar, Kaushal Solanki, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath

Proceedings of the IEEE International Conference on Acoustics, 2007

2005

Dynamic programming based segmentation approach to LSF matrix reconstruction.

Anindya Sarkar, T. V. Sreenivas

Proceedings of the INTERSPEECH 2005, 2005

Automatic Speech Segmentation Using Average Level Crossing Rate Information.

Anindya Sarkar, Thippur V. Sreenivas

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005