Neal Mangaokar

21 papers A* 4A 4Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs.
CoRR
Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
2025 A* conf
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale.
WWW
Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash
2025 J jnl
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale.
CoRR
Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash
2025 J jnl
Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI.
CoRR
Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu, Sifat Muhammad Abdullah, Shirin Nilizadeh, Atul Prakash, Bimal Viswanath
2025 J jnl
What Really is a Member? Discrediting Membership Inference via Poisoning.
CoRR
Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley A. Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury
2024 A conf
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles.
WACV
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2024 — conf
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.
ACL (1)
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
2024 J jnl
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.
CoRR
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
2023 J jnl
Investigating Stateful Defenses Against Black-Box Adversarial Examples.
CoRR
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
2023 A* conf
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks.
CCS
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
2023 J jnl
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks.
CoRR
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2022 J jnl
Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection.
IEEE Secur. Priv.
Neal Mangaokar, Atul Prakash
2022 A conf
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems.
EuroS&P
Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash
2022 J jnl
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach.
CoRR
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2021 A* conf
Deepfake Videos in the Wild: Analysis and Detection.
WWW
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
2021 J jnl
Deepfake Videos in the Wild: Analysis and Detection.
CoRR
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
2021 J jnl
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
CoRR
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2021 A* conf
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.
USENIX Security Symposium
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
2021 J jnl
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.
CoRR
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath
2020 A conf
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
EuroS&P
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2020 A conf
NoiseScope: Detecting Deepfake Images in a Blind Setting.
ACSAC
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath