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Neal Mangaokar
Neal Mangaokar
Ph.D. Candidate, University of Michigan, Ann Arbor
Подтвержден адрес электронной почты в домене umich.edu - Главная страница
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Процитировано
Год
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
A Azizi, I Tahmid, A Waheed, N Mangaokar, J Pu, M Javed, CK Reddy, ...
30th USENIX Security Symposium (USENIX Security 2021), 2021
1102021
Deepfake Videos in the Wild: Analysis and Detection
J Pu (co-lead), N Mangaokar (co-lead), L Kelly, P Bhattacharya, ...
28th ACM World Wide Web Conference (WWW 2021), 2021
58*2021
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
N Mangaokar, J Pu, P Bhattacharya, CK Reddy, B Viswanath
5th IEEE European Symposium on Security and Privacy (EuroS&P 2020), 139-157, 2020
442020
NoiseScope: Detecting Deepfake Images in a Blind Setting
J Pu, N Mangaokar, B Wang, C K. Reddy, B Viswanath
36th ACM Annual Computer Security Applications Conference (ACSAC 2020), 2020
342020
Prp: Propagating universal perturbations to attack large language model guard-rails
N Mangaokar, A Hooda, J Choi, S Chandrashekaran, K Fawaz, S Jha, ...
arXiv preprint arXiv:2402.15911, 2024
322024
Stateful defenses for machine learning models are not yet secure against black-box attacks
R Feng, A Hooda, N Mangaokar, K Fawaz, S Jha, A Prakash
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
17*2023
D4: Detection of adversarial diffusion deepfakes using disjoint ensembles
A Hooda, N Mangaokar, R Feng, K Fawaz, S Jha, A Prakash
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
15*2024
Graphite: Generating automatic physical examples for machine-learning attacks on computer vision systems
R Feng, N Mangaokar, J Chen, E Fernandes, S Jha, A Prakash
2022 IEEE 7th European symposium on security and privacy (EuroS&P), 664-683, 2022
152022
Dispelling misconceptions and characterizing the failings of deepfake detection
N Mangaokar, A Prakash
IEEE Security & Privacy 20 (2), 61-67, 2021
92021
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
A Hooda (co-lead), N Mangaokar (co-lead), R Feng, K Fawaz, S Jha, ...
AdvML Frontiers Workshop at 40th International Conference on Machine …, 0
2*
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale
E Tsai, N Mangaokar, B Zheng, H Zheng, A Prakash
arXiv preprint arXiv:2502.01798, 2025
2025
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Статьи 1–11