Aniruddha Saha

According to our database, Aniruddha Saha authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion.

Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum

CoRR, 2024

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text.

Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Reliability of Watermarks for Large Language Models.

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.

Aniruddha Saha, Shuhua Yu, Mohammad Sadegh Norouzzadeh, Wan-Yi Lin, Chaithanya Kumar Mummadi

Trans. Mach. Learn. Res., 2023

Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein

CoRR, 2023

Bring Your Own Data! Self-Supervised Evaluation for Large Language Models.

Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

CoRR, 2023

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.

Aniruddha Saha, Shuhua Yu, Arash Norouzzadeh, Wan-Yi Lin, Chaithanya Kumar Mummadi

CoRR, 2023

2022

Backdoor Attacks on Vision Transformers.

Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

Backdoor Attacks on Self-Supervised Learning.

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Role of Spatial Context in Adversarial Robustness for Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.

Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hidden Trigger Backdoor Attacks.

Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Patches Exploiting Contextual Reasoning in Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

CoRR, 2019

2016

An Adaptive Foreground-Background Separation Method for Effective Binarization of Document Images.

Bishwadeep Das, Showmik Bhowmik, Aniruddha Saha, Ram Sarkar

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016