People
Kavya Gupta
Saarland Informatics Campus
Building E1.1, Room 2.26
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
University of Paris-Saclay, France, 2023.
CertViT: Certified Robustness of Pre-Trained Vision Transformers Journal Article
In: CoRR, vol. abs/2302.10287, 2023.
2022
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.
2021
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.
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.
2020
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.
2019
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.
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach Journal Article
In: CoRR, vol. abs/1905.01047, 2019.
2018
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.
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.
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.
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.
Motion Blur removal via Coupled Autoencoder Journal Article
In: CoRR, vol. abs/1812.09888, 2018.
2017
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.
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.
2016
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.
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.
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.
2015
Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery Journal Article
In: CoRR, vol. abs/1512.07709, 2015.