Umar Iqbal

Orcid: 0000-0003-1416-4113

Affiliations:
  • Washington University in St. Louis, MO, USA
  • University of Washington, Seattle, WA, USA (2021 - 2023)
  • University of Iowa, IA, USA (PhD 2021)


According to our database1, Umar Iqbal authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy?
Proc. Priv. Enhancing Technol., January, 2024

Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs.
CoRR, 2024

SecGPT: An Execution Isolation Architecture for LLM-Based Systems.
CoRR, 2024

PURL: Safe and Effective Sanitization of Link Decoration.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins.
CoRR, 2023

Online Advertising in Ukraine and Russia During the 2022 Russian Invasion.
Proceedings of the ACM Web Conference 2023, 2023

Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem.
Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Gender Biases in Tone Analysis: A Case Study of a Commercial Wearable.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

CookieGraph: Understanding and Detecting First-Party Tracking Cookies.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting.
Proc. Priv. Enhancing Technol., 2022

COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies.
CoRR, 2022

Your Echos are Heard: Tracking, Profiling, and Ad Targeting in the Amazon Smart Speaker Ecosystem.
CoRR, 2022

WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking.
Proceedings of the 31st USENIX Security Symposium, 2022

Khaleesi: Breaker of Advertising and Tracking Request Chains.
Proceedings of the 31st USENIX Security Symposium, 2022

2021
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Eluding ML-based Adblockers With Actionable Adversarial Examples.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
A4 : Evading Learning-based Adblockers.
CoRR, 2020

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking.
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

2019
ShadowBlock: A Lightweight and Stealthy Adblocking Browser.
Proceedings of the World Wide Web Conference, 2019

2018
AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking.
CoRR, 2018

2017
The ad wars: retrospective measurement and analysis of anti-adblock filter lists.
Proceedings of the 2017 Internet Measurement Conference, 2017

2016
Malware Slums: Measurement and Analysis of Malware on Traffic Exchanges.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016


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