An Adaptive Foreground-Background Separation Method for Effective Binarization of Document Images. - Bishwadeep Das; Showmik Bhowmik; Aniruddha Saha; Ram Sarkar (SoCPaR, 2016)

Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CoRR, 2019)

Hidden Trigger Backdoor Attacks. - Aniruddha Saha; Akshayvarun Subramanya; Hamed Pirsiavash (AAAI, 2020)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (CVPR, 2020)

Role of Spatial Context in Adversarial Robustness for Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CVPR Workshops, 2020)

Backdoor Attacks on Self-Supervised Learning. - Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CVPR, 2022)

Backdoor Attacks on Vision Transformers. - Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

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)

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)

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)

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)

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; et al. (ICLR, 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 (ICLR, 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 (ICML, 2024)

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. - Akshayvarun Subramanya; Soroush Abbasi Koohpayegani; Aniruddha Saha; Ajinkya Tejankar; Hamed Pirsiavash (WACV, 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)

LLM-Generated Passphrases That Are Secure and Easy to Remember. - Jie S. Li 001; Jonas Geiping; Micah Goldblum; Aniruddha Saha; Tom Goldstein (NAACL (Findings), 2025)