Earlence Fernandes

UC San Diego Health System — United States

Computer Science · Physical Sciences

23h-index5.3kcitations80works1.02yr avg
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Research Topics

Advanced Malware Detection Techniques(46), Security and Verification in Computing(26), Adversarial Robustness in Machine Learning(17), Network Security and Intrusion Detection(15), Digital and Cyber Forensics(11)

Publications80 total

ceLLMate: Sandboxing Browser AI Agents
arXiv (Cornell University)·2025Open Access
Systems Security Foundations for Agentic Computing
ArXiv.org·2025Open Access
May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks
arXiv (Cornell University)·2025Open Access
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
arXiv (Cornell University)·2025Open Access
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-Based Prompt Injection Attacks via the Fine-Tuning Interface
2025· 1 cited
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
arXiv (Cornell University)·2025Open Access
Imprompter: Tricking LLM Agents into Improper Tool Use
arXiv (Cornell University)·2024· 1 citedOpen Access
Scalable Metadata-Hiding for Privacy-Preserving IoT Systems
Proceedings on Privacy Enhancing Technologies·2024Open Access
Experimental Security Analysis of Sensitive Data Access by Browser Extensions
2024· 6 citedOpen Access
Experimental Analyses of the Physical Surveillance Risks in Client-Side Content Scanning
2024· 1 citedOpen Access
CPSIoTSec'23: Fifth Workshop on CPS & IoT Security and Privacy
2023
Misusing Tools in Large Language Models With Visual Adversarial Examples
arXiv (Cornell University)·2023· 6 citedOpen Access
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance
arXiv (Cornell University)·2022Open Access
CPSIoTSec '22: 4th Workshop on CPS & IoT Security and Privacy
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security·2022· 1 cited
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
2022· 9 cited
SoK: Authentication in Augmented and Virtual Reality
2022 IEEE Symposium on Security and Privacy (SP)·2022· 76 cited
SkillFence
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies·2022· 4 citedOpen Access
Experimental Security Analysis of the App Model in Business Collaboration Platforms
arXiv (Cornell University)·2022Open Access
SoK: Context Sensing for Access Control in the Adversarial Home IoT
2021· 18 cited
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect
2021Open Access
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Frequent Co-authors

Atul Prakash(28), Amir Rahmati(17), Kevin Eykholt(10), Ivan Evtimov(7), Tadayoshi Kohno(7), Mauro Conti(7), Bruno Crispo(6), Dawn Song(5), Jaeyeon Jung(5), Justin Paupore(4), Giovanni Russello(4), Z. Berkay Celik(3), Gang Tan(3), Patrick McDaniel(3), Florian Tramèr(3), Yury Zhauniarovich(3), Ruizhe Wang(3), Ryan Feng(3), Jiefeng Chen(3), Somesh Jha(3)