Ashish Hooda

According to our database, Ashish Hooda authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks.

Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha

CoRR, 2024

PolicyLR: A Logic Representation For Privacy Policies.

Ashish Hooda, Rishabh Khandelwal, Prasad Chalasani, Kassem Fawaz, Somesh Jha

CoRR, 2024

Synthetic Counterfactual Faces.

Guruprasad V. Ramesh, Harrison Rosenberg, Ashish Hooda, Shimaa Ahmed, Kassem Fawaz

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

Experimental Analyses of the Physical Surveillance Risks in Client-Side Content Scanning.

Ashish Hooda, Andrey Labunets, Tadayoshi Kohno, Earlence Fernandes

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates.

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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