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ORCIDNeal Mangaokar
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2020 – today
- 2025
[c9]Elisa Tsai
, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash:
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. WWW 2025: 990-1003- [i8]Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash:
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. CoRR abs/2502.01798 (2025) - 2024
- [c8]Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash:
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. ACL (1) 2024: 10960-10976 - [c7]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV 2024: 3800-3810 - [i7]Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash:
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. CoRR abs/2402.15911 (2024) - 2023
- [c6]Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash:
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. CCS 2023: 786-800 - [i6]Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash:
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR abs/2303.06280 (2023) - [i5]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. CoRR abs/2307.16331 (2023) - 2022
- [j1]Neal Mangaokar, Atul Prakash:
Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection. IEEE Secur. Priv. 20(2): 61-67 (2022) - [c5]Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash:
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems. EuroS&P 2022: 664-683 - [i4]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR abs/2202.05687 (2022) - 2021
- [c4]Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath:
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. USENIX Security Symposium 2021: 2255-2272 - [c3]Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. WWW 2021: 981-992 - [i3]Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. CoRR abs/2103.04263 (2021) - [i2]Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath:
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. CoRR abs/2103.04264 (2021) - [i1]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR abs/2104.02107 (2021) - 2020
- [c2]Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath:
NoiseScope: Detecting Deepfake Images in a Blind Setting. ACSAC 2020: 913-927 - [c1]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P 2020: 139-157
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