Aniruddha Saha 个人学术档案

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引用	1098	1093
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i10 指数	8	8

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Hamed PirsiavashAssociate Professor at University of California, Davis在 ucdavis.edu 的电子邮件经过验证
Akshayvarun SubramanyaPh.D student at University of Maryland, Baltimore County在 umbc.edu 的电子邮件经过验证
Jonas GeipingELLIS Institute Tübingen & Max Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
Micah GoldblumNew York University在 nyu.edu 的电子邮件经过验证
Yuxin WenUniversity of Maryland在 umd.edu 的电子邮件经过验证
John KirchenbauerUniversity of Maryland, College Park在 umd.edu 的电子邮件经过验证
Ajinkya TejankarPhD student at UC Davis在 ucdavis.edu 的电子邮件经过验证
Soroush Abbasi KoohpayeganiPhD Student at University of California, Davis在 ucdavis.edu 的电子邮件经过验证
Neel JainUniversity of Maryland, College Park在 umd.edu 的电子邮件经过验证
Avi SchwarzschildPost Doc at Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TN在 vanderbilt.edu 的电子邮件经过验证
Heiko HoffmannMagimine, LLC在 magimine.com 的电子邮件经过验证
Koninika PatilUniversity of Maryland, Baltimore County在 umbc.edu 的电子邮件经过验证
Gowthami SomepalliUniversity of Maryland, College Park在 umd.edu 的电子邮件经过验证
Ping-yeh ChiangUniversity of Maryland - College Park在 cs.umd.edu 的电子邮件经过验证
Manli ShuUniversity of Maryland在 umd.edu 的电子邮件经过验证
Khalid SaifullahPhD Student of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
Kasun FernandoLecturer, Brunel University London在 brunel.ac.uk 的电子邮件经过验证
Kezhi KongUniversity of Maryland, College Park在 cs.umd.edu 的电子邮件经过验证

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AI Security AI Safety Adversarial Machine Learning Trustworthy Machine Learning Computer Vision


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Hidden Trigger Backdoor Attacks A Saha, A Subramanya, H Pirsiavash Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019	565	2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs S Kolouri, A Saha, H Pirsiavash, H Hoffmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	237	2019
Backdoor Attacks on Self-Supervised Learning A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	93	2021
Role of Spatial Context in Adversarial Robustness for Object Detection A Saha, A Subramanya, K Patil, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	73*	2019
Baseline Defenses for Adversarial Attacks Against Aligned Language Models N Jain, A Schwarzschild, Y Wen, G Somepalli, J Kirchenbauer, P Chiang, ... arXiv preprint arXiv:2309.00614, 2023	39	2023
On the Reliability of Watermarks for Large Language Models J Kirchenbauer, J Geiping, Y Wen, M Shu, K Saifullah, K Kong, ... The Twelfth International Conference on Learning Representations (ICLR) 2024, 2023	28	2023
NEFTune: Noisy Embeddings Improve Instruction Finetuning N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ... The Twelfth International Conference on Learning Representations (ICLR) 2024, 2023	23	2023
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models N Jain, K Saifullah, Y Wen, J Kirchenbauer, M Shu, A Saha, M Goldblum, ... arXiv preprint arXiv:2306.13651, 2023	16	2023
Backdoor Attacks on Vision Transformers A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv:2206.08477, 2022	9	2022
An Adaptive Foreground-Background Separation Method for Effective Binarization of Document Images B Das, S Bhowmik, A Saha, R Sarkar Proceedings of the Eighth International Conference on Soft Computing and …, 2017	8	2017
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text A Hans, A Schwarzschild, V Cherepanova, H Kazemi, A Saha, ... Forty-first International Conference on Machine Learning (ICML) 2024, 2024	5	2024
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches A Saha, S Yu, A Norouzzadeh, WY Lin, CK Mummadi arXiv preprint arXiv:2306.12610, 2023	2	2023
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion H Souri, A Bansal, H Kazemi, L Fowl, A Saha, J Geiping, AG Wilson, ... arXiv preprint arXiv:2403.16365, 2024		2024
System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks A Saha, CK Mummadi, WY Lin, F Condessa US Patent App. 17/949,003, 2024		2024
System and Method with Masking for Certified Defense Against Adversarial Patch Attacks S Yu, A Saha, CK Mummadi, WY Lin US Patent App. 17/949,980, 2024		2024
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks A Subramanya, SA Koohpayegani, A Saha, A Tejankar, H Pirsiavash Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024		2024
Backdoor Attacks in Computer Vision: Towards Adversarially Robust Machine Learning Models A Saha University of Maryland, Baltimore County, 2022		2022

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