People

Kavya Gupta

​Saarland Informatics Campus
Building E1.1, Room 2.26

My personal website
kavya.gupta100@gmail.com

About me

I am a Postdoctoral researcher with Prof. Isabel Valera at Saarland University since March 2024. I recieved my Ph.D.  from University Paris-Saclay in 2023 under the supervision of Prof. Jean-Christophe Pesquet. I am an alumna of IIITD, India. I am currently working on Society-Aware Machine Learning.

My research focuses on various aspects of understanding vulnerabilities in neural networks. I study the robustness of neural networks: understanding their behavior and providing formal guarantees on the robustness using Lipschitz bounds for making AI systems work in their safe set throughout their life cycle. I am focused on making AI systems secure and trustworthy with scalable and efficient methods. My research interests include robust machine learning, optimization, computer vision.

I am interested in research which leads to innovative as well as practical and real outcomes. Feel free to reach out on twitter or via email.

 

 

 

 

Publications

2023

Gupta, Kavya

Stability Quantification of Neural Networks. (Quantification de la stabilité des réseaux de neurones) PhD Thesis

University of Paris-Saclay, France, 2023.

Links | BibTeX

Gupta, Kavya; Verma, Sagar

CertViT: Certified Robustness of Pre-Trained Vision Transformers Journal Article

In: CoRR, vol. abs/2302.10287, 2023.

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2022

Gupta, Kavya; Kaakai, Fateh; Pesquet-Popescu, Béatrice; Pesquet, Jean-Christophe

Safe Design of Stable Neural Networks for Fault Detection in Small UAVs Proceedings Article

In: Trapp, Mario; Schoitsch, Erwin; Guiochet, Jérémie; Bitsch, Friedemann (Ed.): Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops - DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Munich, Germany, September 6-9, 2022, Proceedings, pp. 263–275, Springer, 2022.

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2021

Gupta, Kavya; Pesquet-Popescu, Béatrice; Kaakai, Fateh; Pesquet, Jean-Christophe

A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data Proceedings Article

In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, pp. 8057–8061, IEEE, 2021.

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Gupta, Kavya; Pesquet, Jean-Christophe; Pesquet-Popescu, Béatrice; Kaakai, Fateh; Malliaros, Fragkiskos D.

An Adversarial Attacker for Neural Networks in Regression Problems Proceedings Article

In: Espinoza, Huáscar; McDermid, John A.; Huang, Xiaowei; Castillo-Effen, Mauricio; Chen, Xin Cynthia; Hernández-Orallo, José; hÉigeartaigh, Seán Ó; Mallah, Richard; Pedroza, Gabriel (Ed.): Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), Virtual, August, 2021, CEUR-WS.org, 2021.

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2020

Neacsu, Ana; Gupta, Kavya; Pesquet, Jean-Christophe; Burileanu, Corneliu

Signal Denoising Using a New Class of Robust Neural Networks Proceedings Article

In: 28th European Signal Processing Conference, EUSIPCO 2020, Amsterdam, Netherlands, January 18-21, 2021, pp. 1492–1496, IEEE, 2020.

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2019

Biswas, Sandika; Sinha, Sanjana; Gupta, Kavya; Bhowmick, Brojeshwar

Lifting 2d Human Pose to 3d : A Weakly Supervised Approach Proceedings Article

In: International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp. 1–9, IEEE, 2019.

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Biswas, Sandika; Sinha, Sanjana; Gupta, Kavya; Bhowmick, Brojeshwar

Lifting 2d Human Pose to 3d : A Weakly Supervised Approach Journal Article

In: CoRR, vol. abs/1905.01047, 2019.

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2018

Gupta, Kavya; Majumdar, Angshul

Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization Journal Article

In: Neural Process. Lett., vol. 48, no. 1, pp. 615–629, 2018.

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Gupta, Kavya; Bhowmick, Brojeshwar

Coupled Autoencoder Based Reconstruction of Images from Compressively Sampled Measurements Proceedings Article

In: 26th European Signal Processing Conference, EUSIPCO 2018, Roma, Italy, September 3-7, 2018, pp. 1067–1071, IEEE, 2018.

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Gupta, Kavya; Bhowmick, Brojeshwar; Majumdar, Angshul

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals Proceedings Article

In: 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1–8, IEEE, 2018.

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Gupta, Kavya; Bhowmick, Brojeshwar; Majumdar, Angshul

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals Journal Article

In: CoRR, vol. abs/1812.09878, 2018.

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Gupta, Kavya; Bhowmick, Brojeshwar; Majumdar, Angshul

Motion Blur removal via Coupled Autoencoder Journal Article

In: CoRR, vol. abs/1812.09888, 2018.

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2017

Gupta, Kavya; Bhowmick, Brojeshwar; Majumdar, Angshul

Motion blur removal via coupled autoencoder Proceedings Article

In: 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, pp. 480–484, IEEE, 2017.

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Gupta, Kavya; Majumdar, Angshul

Learning autoencoders with low-rank weights Proceedings Article

In: 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, pp. 3899–3903, IEEE, 2017.

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2016

Gupta, Kavya; Raj, Ankita; Majumdar, Angshul

Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery Proceedings Article

In: Bilgin, Ali; Marcellin, Michael W.; Serra-Sagristà, Joan; Storer, James A. (Ed.): 2016 Data Compression Conference, DCC 2016, Snowbird, UT, USA, March 30 - April 1, 2016, pp. 599, IEEE, 2016.

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Mehta, Janki; Gupta, Kavya; Gogna, Anupriya; Majumdar, Angshul; Anand, Saket

Stacked Robust Autoencoder for Classification Proceedings Article

In: Hirose, Akira; Ozawa, Seiichi; Doya, Kenji; Ikeda, Kazushi; Lee, Minho; Liu, Derong (Ed.): Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III, pp. 600–607, 2016.

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Gupta, Kavya; Majumdar, Angshul

Sparsely connected autoencoder Proceedings Article

In: 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, pp. 1940–1947, IEEE, 2016.

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2015

Gupta, Kavya; Raj, Ankita; Majumdar, Angshul

Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery Journal Article

In: CoRR, vol. abs/1512.07709, 2015.

Links | BibTeX