Earlence Fernandes

According to our database, Earlence Fernandes authored at least 54 papers between 2011 and 2023.

Collaborative distances:

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

2023

Misusing Tools in Large Language Models With Visual Adversarial Examples.

Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes

CoRR, 2023

CPSIoTSec'23: Fifth Workshop on CPS & IoT Security and Privacy.

Magnus Almgren, Earlence Fernandes

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

Analyzing the Security of the Business Collaboration Platform App Model.

Yunang Chen, Yue Gao, Nick Ceccio, Rahul Chatterjee, Kassem Fawaz, Earlence Fernandes

CoRR, 2022

Practical Data Access Minimization in Trigger-Action Platforms.

Yunang Chen, Mohannad Alhanahnah, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes

Proceedings of the 31st USENIX Security Symposium, 2022

Experimental Security Analysis of the App Model in Business Collaboration Platforms.

Yunang Chen, Yue Gao, Nick Ceccio, Rahul Chatterjee, Kassem Fawaz, Earlence Fernandes

Proceedings of the 31st USENIX Security Symposium, 2022

SoK: Authentication in Augmented and Virtual Reality.

Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems.

Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

CPSIoTSec '22: 4th Workshop on CPS & IoT Security and Privacy.

Earlence Fernandes, Cristina Alcaraz

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Exploring Adversarial Robustness of Deep Metric Learning.

Thomas Kobber Panum, Zi Wang, Pengyu Kan, Earlence Fernandes, Somesh Jha

CoRR, 2021

Data Privacy in Trigger-Action Systems.

Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

SoK: Context Sensing for Access Control in the Adversarial Home IoT.

Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah D. Hester, Blase Ur

Proceedings of the IEEE European Symposium on Security and Privacy, 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

Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems.

Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Data Privacy in Trigger-Action IoT Systems.

Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes

CoRR, 2020

Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification.

Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash

CoRR, 2020

2019

Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities.

Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, Patrick D. McDaniel

ACM Comput. Surv., 2019

New Problems and Solutions in IoT Security and Privacy.

Earlence Fernandes, Amir Rahmati, Nick Feamster

CoRR, 2019

Analyzing the Interpretability Robustness of Self-Explaining Models.

Haizhong Zheng, Earlence Fernandes, Atul Prakash

CoRR, 2019

Analysis of the Susceptibility of Smart Home Programming Interfaces to End User Error.

Mitali Palekar, Earlence Fernandes, Franziska Roesner

Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

2018

Tyche: Risk-Based Permissions for Smart Home Platforms.

Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash

CoRR, 2018

Physical Adversarial Examples for Object Detectors.

Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno

Proceedings of the 12th USENIX Workshop on Offensive Technologies, 2018

Rethinking Access Control and Authentication for the Home Internet of Things (IoT).

Weijia He, Maximilian Golla, Roshni Padhi, Jordan Ofek, Markus Dürmuth, Earlence Fernandes, Blase Ur

Proceedings of the 27th USENIX Security Symposium, 2018

Tyche: A Risk-Based Permission Model for Smart Homes.

Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash

Proceedings of the 2018 IEEE Cybersecurity Development, SecDev 2018, Cambridge, MA, USA, 2018

Decentralized Action Integrity for Trigger-Action IoT Platforms.

Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Robust Physical-World Attacks on Deep Learning Visual Classification.

Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Securing Personal IoT Platforms through Systematic Analysis and Design.

Earlence Fernandes

PhD thesis, 2017

Security Implications of Permission Models in Smart-Home Application Frameworks.

Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash

IEEE Secur. Priv., 2017

Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?

Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash

IEEE Secur. Priv., 2017

Note on Attacking Object Detectors with Adversarial Stickers.

Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr

CoRR, 2017

IFTTT vs. Zapier: A Comparative Study of Trigger-Action Programming Frameworks.

Amir Rahmati, Earlence Fernandes, Jaeyeon Jung, Atul Prakash

CoRR, 2017

Decoupled-IFTTT: Constraining Privilege in Trigger-Action Platforms for the Internet of Things.

Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash

CoRR, 2017

Robust Physical-World Attacks on Machine Learning Models.

Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song

CoRR, 2017

ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms.

Yunhan Jack Jia, Qi Alfred Chen, Shiqi Wang, Amir Rahmati, Earlence Fernandes, Zhuoqing Morley Mao, Atul Prakash

Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Heimdall: A Privacy-Respecting Implicit Preference Collection Framework.

Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Computer Security and Privacy for the Physical World.

Earlence Fernandes

Proceedings of the 2017 Workshop on Internet of Things Security and Privacy, 2017

2016

FlowFence: Practical Data Protection for Emerging IoT Application Frameworks.

Earlence Fernandes, Justin Paupore, Amir Rahmati, Daniel Simionato, Mauro Conti, Atul Prakash

Proceedings of the 25th USENIX Security Symposium, 2016

Security Analysis of Emerging Smart Home Applications.

Earlence Fernandes, Jaeyeon Jung, Atul Prakash

Proceedings of the IEEE Symposium on Security and Privacy, 2016

Applying the Opacified Computation Model to Enforce Information Flow Policies in IoT Applications.

Amir Rahmati, Earlence Fernandes, Atul Prakash

Proceedings of the IEEE Cybersecurity Development, 2016

Appstract: on-the-fly app content semantics with better privacy.

Earlence Fernandes, Oriana Riva, Suman Nath

Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

Android UI Deception Revisited: Attacks and Defenses.

Earlence Fernandes, Qi Alfred Chen, Justin Paupore, Georg Essl, J. Alex Halderman, Zhuoqing Morley Mao, Atul Prakash

Proceedings of the Financial Cryptography and Data Security, 2016

2015

Practical Always-on Taint Tracking on Mobile Devices.

Justin Paupore, Earlence Fernandes, Atul Prakash, Sankardas Roy, Xinming Ou

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

My OS Ought to Know Me Better: In-app Behavioural Analytics as an OS Service.

Earlence Fernandes, Oriana Riva, Suman Nath

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

Decomposable Trust for Android Applications.

Earlence Fernandes, Ajit Aluri, Alexander Crowell, Atul Prakash

Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014

MOSES: Supporting and Enforcing Security Profiles on Smartphones.

Yury Zhauniarovich, Giovanni Russello, Mauro Conti, Bruno Crispo, Earlence Fernandes

IEEE Trans. Dependable Secur. Comput., 2014

Anception: Application Virtualization For Android.

Earlence Fernandes, Alexander Crowell, Ajit Aluri, Atul Prakash

CoRR, 2014

OASIS: Operational Access Sandboxes for Information Security.

Mauro Conti, Earlence Fernandes, Justin Paupore, Atul Prakash, Daniel Simionato

Proceedings of the 4th ACM Workshop on Security and Privacy in Smartphones & Mobile Devices, 2014

2013

FM 99.9, Radio Virus: Exploiting FM Radio Broadcasts for Malware Deployment.

Earlence Fernandes, Bruno Crispo, Mauro Conti

IEEE Trans. Inf. Forensics Secur., 2013

The Confinement Problem: 40 Years Later.

Alexander Crowell, Beng Heng Ng, Earlence Fernandes, Atul Prakash

J. Inf. Process. Syst., 2013

2012

CRêPE: A System for Enforcing Fine-Grained Context-Related Policies on Android.

Mauro Conti, Bruno Crispo, Earlence Fernandes, Yury Zhauniarovich

IEEE Trans. Inf. Forensics Secur., 2012

MOSES: supporting operation modes on smartphones.

Giovanni Russello, Mauro Conti, Bruno Crispo, Earlence Fernandes

Proceedings of the 17th ACM Symposium on Access Control Models and Technologies, 2012

Demonstrating the effectiveness of MOSES for separation of execution modes.

Giovanni Russello, Mauro Conti, Bruno Crispo, Earlence Fernandes, Yury Zhauniarovich

Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011

YAASE: Yet Another Android Security Extension.

Giovanni Russello, Bruno Crispo, Earlence Fernandes, Yury Zhauniarovich

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011