Neal Mangaokar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Text Classification

Countermeasures

Computer Vision Systems

Top Venues

USENIX Security Symposium

Publications

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 (2024)
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)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV (2024)
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)
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR (2023)
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 (2023)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR (2022)
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)
Neal Mangaokar, Atul Prakash
Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection. IEEE Secur. Priv. 20 (2) (2022)
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 (2021)
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)
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 (2021)
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)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR (2021)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P (2020)
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath
NoiseScope: Detecting Deepfake Images in a Blind Setting. ACSAC (2020)