Ashish Hooda

According to our database, Ashish Hooda authored at least 10 papers between 2021 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

Do Large Code Models Understand Programming Concepts? A Black-box Approach.

Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha

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

SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks.

Ashish Hooda, Matthew Wallace, Kushal Jhunjhunwalla, Earlence Fernandes, Kassem Fawaz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance.

Ashish Hooda, Andrey Labunets, Tadayoshi Kohno, Earlence Fernandes

CoRR, 2022

Towards Adversarially Robust Deepfake Detection: An Ensemble Approach.

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

CoRR, 2022

2021

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect.

Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021