Neal Mangaokar

According to our database, Neal Mangaokar authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.

Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash

CoRR, 2024

D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles.

Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks.

Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

CoRR, 2023

Investigating Stateful Defenses Against Black-Box Adversarial Examples.

Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash

CoRR, 2023

Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks.

Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection.

Neal Mangaokar, Atul Prakash

IEEE Secur. Priv., 2022

Towards Adversarially Robust Deepfake Detection: An Ensemble Approach.

Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

CoRR, 2022

GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems.

Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Deepfake Videos in the Wild: Analysis and Detection.

Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath

Proceedings of the WWW '21: The Web Conference 2021, 2021

T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification.

Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath

Proceedings of the 30th USENIX Security Symposium, 2021

2020

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.

Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

NoiseScope: Detecting Deepfake Images in a Blind Setting.

Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020