3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data. - Nilanjan Ray; Satarupa Mukherjee; Krishna Kanth Nakka; Scott T. Acton; Silvia S. Blanker (GlobalSIP, 2014)

My camera can see through fences: A deep learning approach for image de-fencing. - Sankaraganesh Jonna; Krishna K. Nakka; Rajiv R. Sahay (ACPR, 2015)

Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence. - Sankaraganesh Jonna; Krishna K. Nakka; Rajiv R. Sahay (ECCV Workshops (3), 2016)

Towards an Automated Image De-fencing Algorithm Using Sparsity. - Sankaraganesh Jonna; Krishna K. Nakka; Rajiv R. Sahay (CoRR, 2016)

Automatic Image De-fencing System. - Krishna Kanth Nakka (CoRR, 2016)

Deep Attentional Structured Representation Learning for Visual Recognition. - Krishna Kanth Nakka; Mathieu Salzmann (BMVC, 2018)

Detecting the Unexpected via Image Resynthesis. - Krzysztof Lis; Krishna Kanth Nakka; Pascal Fua; Mathieu Salzmann (ICCV, 2019)

Interpretable BoW Networks for Adversarial Example Detection. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2019)

Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features. - Krishna Kanth Nakka; Mathieu Salzmann (ACCV (6), 2020)

Indirect Local Attacks for Context-Aware Semantic Segmentation Networks. - Krishna Kanth Nakka; Mathieu Salzmann (ECCV (5), 2020)

Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2020)

Learning Transferable Adversarial Perturbations. - Krishna Kanth Nakka; Mathieu Salzmann (NeurIPS, 2021)

Universal, Transferable Adversarial Perturbations for Visual Object Trackers. - Krishna Kanth Nakka; Mathieu Salzmann (ECCV Workshops (1), 2022)

Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2023)

Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CVPR Workshops, 2024)

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization. - Ahmed Frikha 002; Nassim Walha; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets. - Ahmed Frikha 002; Nassim Walha; Ricardo Mendes; Krishna Kanth Nakka; Xue Jiang; Xuebing Zhou (CoRR, 2024)

PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs. - Krishna Kanth Nakka; Ahmed Frikha 002; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2024)

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability. - Krishna Kanth Nakka; Alexandre Alahi (WACV, 2025)

PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders. - Ahmed Frikha 002; Muhammad Reza Ar Razi; Krishna Kanth Nakka; Ricardo Mendes; Xue Jiang; Xuebing Zhou (CoRR, 2025)

PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage. - Krishna Kanth Nakka; Xue Jiang; Xuebing Zhou (CoRR, 2025)

Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders. - Krishna Kanth Nakka (CoRR, 2025)