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Earlence Fernandes — most-cited papers & profile · Cybersecurity
← authors
·
overview
Earlence Fernandes
11
papers ·
657
citations ·
23
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Robust Physical-World Attacks on Deep Learning Models
2017 · 508 citations
Physical Adversarial Examples for Object Detectors
2018 · 104 citations
Note on Attacking Object Detectors with Adversarial Stickers
2017 · 37 citations
Misusing Tools in Large Language Models With Visual Adversarial Examples
2023 · 6 citations
Imprompter: Tricking LLM Agents into Improper Tool Use
2024 · 2 citations
Agent Security is a Systems Problem
2026
Systems Security Foundations for Agentic Computing
2025
May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks
2025
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
2025
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
2020
Top co-authors
Atul Prakash
· 4
Amir Rahmati
· 3
Andrey Labunets
· 3
Ashish Hooda
· 3
Dawn Song
· 3
Ivan Evtimov
· 3
Kevin Eykholt
· 3
Nishit V. Pandya
· 3
Tadayoshi Kohno
· 3
Xiaohan Fu
· 3
Florian Tramèr
· 2
Mihai Christodorescu
· 2
Topics
Adversarial ML
Vulnerability Detection
LLM Security
Threat Intelligence
Privacy
Network Security