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Ashish Hooda
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2020 – today
- 2024
- [c6]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: 10960-10976 - [c5]Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha:
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates. ICML 2024 - [c4]Ashish Hooda, Andrey Labunets, Tadayoshi Kohno, Earlence Fernandes:
Experimental Analyses of the Physical Surveillance Risks in Client-Side Content Scanning. NDSS 2024 - [c3]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV 2024: 3800-3810 - [i10]Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha:
Do Large Code Models Understand Programming Concepts? A Black-box Approach. CoRR abs/2402.05980 (2024) - [i9]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 abs/2402.15911 (2024) - [i8]Guruprasad V. Ramesh, Harrison Rosenberg, Ashish Hooda, Shimaa Ahmed, Kassem Fawaz:
Synthetic Counterfactual Faces. CoRR abs/2407.13922 (2024) - [i7]Ashish Hooda, Rishabh Khandelwal, Prasad Chalasani, Kassem Fawaz, Somesh Jha:
PolicyLR: A Logic Representation For Privacy Policies. CoRR abs/2408.14830 (2024) - 2023
- [c2]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: 786-800 - [i6]Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash:
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR abs/2303.06280 (2023) - [i5]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 abs/2307.16331 (2023) - 2022
- [j1]Ashish Hooda, Matthew Wallace, Kushal Jhunjhunwalla, Earlence Fernandes, Kassem Fawaz:
SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 16:1-16:26 (2022) - [i4]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR abs/2202.05687 (2022) - [i3]Ashish Hooda, Andrey Labunets, Tadayoshi Kohno, Earlence Fernandes:
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance. CoRR abs/2212.04107 (2022) - [i2]Ashish Hooda, Matthew Wallace, Kushal Jhunjhunwalla, Earlence Fernandes, Kassem Fawaz:
SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks. CoRR abs/2212.08738 (2022) - 2021
- [c1]Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes:
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect. CVPR 2021: 14666-14675 - 2020
- [i1]Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes:
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect. CoRR abs/2011.13375 (2020)
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last updated on 2024-10-07 22:13 CEST by the dblp team
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