Krishna K. Nakka

According to our database, Krishna K. Nakka authored at least 19 papers between 2014 and 2024.

Collaborative distances:

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

2024

PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs.

Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou

CoRR, 2024

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets.

Ahmed Frikha, Nassim Walha, Ricardo Mendes, Krishna Kanth Nakka, Xue Jiang, Xuebing Zhou

CoRR, 2024

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization.

Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, Ricardo Mendes, Xue Jiang, Xuebing Zhou

CoRR, 2024

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding.

Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou

CoRR, 2024

Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights.

Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation.

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2023

2022

Universal, Transferable Adversarial Perturbations for Visual Object Trackers.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Learning Transferable Adversarial Perturbations.

Krishna Kanth Nakka, Mathieu Salzmann

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

2020

Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers.

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2020

Indirect Local Attacks for Context-Aware Semantic Segmentation Networks.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Interpretable BoW Networks for Adversarial Example Detection.

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2019

Detecting the Unexpected via Image Resynthesis.

Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Attentional Structured Representation Learning for Visual Recognition.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the British Machine Vision Conference 2018, 2018

2016

Automatic Image De-fencing System.

Krishna Kanth Nakka

CoRR, 2016

Towards an Automated Image De-fencing Algorithm Using Sparsity.

Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay

CoRR, 2016

Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence.

Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

My camera can see through fences: A deep learning approach for image de-fencing.

Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

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

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014