Automatic Speech Segmentation Using Average Level Crossing Rate Information. - Anindya Sarkar; Thippur V. Sreenivas (ICASSP (1), 2005)

Dynamic programming based segmentation approach to LSF matrix reconstruction. - Anindya Sarkar; T. V. Sreenivas (INTERSPEECH, 2005)

Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security. - Anindya Sarkar; Kaushal Solanki; Upamanyu Madhow; Shivkumar Chandrasekaran; Bangalore S. Manjunath (ICASSP (2), 2007)

Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation. - Anindya Sarkar; B. S. Manjunath (ICIP (1), 2007)

YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis. - Kaushal Solanki; Anindya Sarkar; B. S. Manjunath (Information Hiding, 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 (IPCV, 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 (TVS, 2007)

Adaptive MPEG-2 video data hiding scheme. - Anindya Sarkar; Upamanyu Madhow; Shivkumar Chandrasekaran; Bangalore S. Manjunath (Security, Steganography, and Watermarking of Multimedia Contents, 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 (TRECVID, 2007)

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 (ICIP, 2008)

Steganographic capacity estimation for the statistical restoration framework. - Anindya Sarkar; Kenneth Sullivan; B. S. Manjunath (Security, Forensics, Steganography, and Watermarking of Multimedia Contents, 2008)

Further study on YASS: steganography based on randomized embedding to resist blind steganalysis. - Anindya Sarkar; Kaushal Solanki; B. S. Manjunath (Security, Forensics, Steganography, and Watermarking of Multimedia Contents, 2008)

Adding Gaussian noise to "denoise" JPEG for detecting image resizing. - Lakshmanan Nataraj; Anindya Sarkar; Bangalore S. Manjunath (ICIP, 2009)

Double embedding in the quantization index modulation framework. - Anindya Sarkar; Bangalore S. Manjunath (ICIP, 2009)

Detection of seam carving and localization of seam insertions in digital images. - Anindya Sarkar; Lakshmanan Nataraj; B. S. Manjunath (MM&Sec, 2009)

Precise localization of key-points to identify local regions for robust data hiding. - Lakshmanan Nataraj; Anindya Sarkar; B. S. Manjunath (ICIP, 2010)

Obtaining Higher Rates for Steganographic Schemes While Maintaining the Same Detectability. - Anindya Sarkar; Kaushal Solanki; B. S. Manjunath (Information Hiding, 2010)

Improving re-sampling detection by adding noise. - Lakshmanan Nataraj; Anindya Sarkar; B. S. Manjunath (Media Forensics and Security, 2010)

Image dependent log-likelihood ratio allocation for repeat accumulate code-based decoding in data hiding channels. - Anindya Sarkar; B. S. Manjunath (Media Forensics and Security, 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)

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)

Discrimination of Black Tea Quality using Electronic Nose: A GA based approach. - Anindya Sarkar; Abhirup Saha; Bipan Tudu; Nabarun Bhattacharyya; Rajib Bandyopadhyay (IICAI, 2011)

Structure and Context in Prostatic Gland Segmentation and Classification. - Kien Nguyen 005; Anindya Sarkar; Anil K. Jain 001 (MICCAI (1), 2012)

Adaptive spectral unmixing for histopathology fluorescent images. - Ting Chen; Anindya Sarkar; Chukka Srinivas (ISBI, 2014)

A robust method for inter-marker whole slide registration of digital pathology images using lines based features. - Anindya Sarkar; Quan Yuan; Chukka Srinivas (ISBI, 2014)

Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei. - Kien Nguyen 005; Anindya Sarkar; Anil K. Jain 001 (IEEE Trans. Medical Imaging, 2014)

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 (Digital Pathology, 2019)

Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. - Anindya Sarkar; Sujeeth Reddy; Raghu Sesha Iyengar (NLPIR, 2019)

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. - Anindya Sarkar; Nikhil Kumar Gupta; Raghu Sesha Iyengar (CoRR, 2019)

Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation. - Anindya Sarkar; Raghu Sesha Iyengar (ICANN (1), 2020)

Neural Data Augmentation Techniques for Time Series Data and its Benefits. - Anindya Sarkar; Anirudh Sunder Raj; Raghu Sesha Iyengar (ICMLA, 2020)

Enhanced Regularizers for Attributional Robustness. - Anindya Sarkar; Anirban Sarkar 001; Vineeth N. Balasubramanian (AAAI, 2021)

Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. - Anindya Sarkar; Anirban Sarkar 001; Sowrya Gali; Vineeth N. Balasubramanian (NeurIPS, 2021)

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. - Anirban Sarkar 001; Deepak Vijaykeerthy; Anindya Sarkar; Vineeth N. Balasubramanian (CoRR, 2021)

Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. - Anindya Sarkar; Anirban Sarkar 001; Sowrya Gali; Vineeth N. Balasubramanian (CoRR, 2021)

A Framework for Learning Ante-hoc Explainable Models via Concepts. - Anirban Sarkar 001; Deepak Vijaykeerthy; Anindya Sarkar; Vineeth N. Balasubramanian (CVPR, 2022)

Reward Delay Attacks on Deep Reinforcement Learning. - Anindya Sarkar; Jiarui Feng; Yevgeniy Vorobeychik; Christopher D. Gill; Ning Zhang 017 (GameSec, 2022)

How Powerful are K-hop Message Passing Graph Neural Networks. - Jiarui Feng; Yixin Chen 001; Fuhai Li 001; Anindya Sarkar; Muhan Zhang (NeurIPS, 2022)

Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. - Anindya Sarkar; Anirban Sarkar 001; Vineeth N. Balasubramanian (WACV, 2022)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (CoRR, 2022)

A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. - Anindya Sarkar; Nathan Jacobs; Yevgeniy Vorobeychik (NeurIPS, 2023)

Geospatial Active Search for Preventing Evictions. - Anindya Sarkar; Alex DiChristofano; Sanmay Das; Patrick J. Fowler; Nathan Jacobs; Yevgeniy Vorobeychik (AAMAS, 2024)

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. - Anindya Sarkar; Srikumar Sastry; Aleksis Pirinen; Chongjie Zhang; Nathan Jacobs; Yevgeniy Vorobeychik (NeurIPS, 2024)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Jiarui Feng; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (WACV, 2024)

Attacks on Node Attributes in Graph Neural Networks. - Ying Xu; Michael Lanier; Anindya Sarkar; Yevgeniy Vorobeychik (CoRR, 2024)

Amortized nonmyopic active search via deep imitation learning. - Quan Nguyen; Anindya Sarkar; Roman Garnett (CoRR, 2024)

Active Geospatial Search for Efficient Tenant Eviction Outreach. - Anindya Sarkar; Alex DiChristofano; Sanmay Das; Patrick J. Fowler; Nathan Jacobs; Yevgeniy Vorobeychik (AAAI, 2025)

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. - Luise Ge; Michael Lanier; Anindya Sarkar; Bengisu Guresti; Yevgeniy Vorobeychik; Chongjie Zhang (CoRR, 2025)

An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model. - Anindya Sarkar; G. Vadivu (CoRR, 2025)

Online Feedback Efficient Active Target Discovery in Partially Observable Environments. - Anindya Sarkar; Binglin Ji; Yevgeniy Vorobeychik (CoRR, 2025)