Zhongjie Wang

Affiliations:
  • University of California, Riverside, CA, USA


According to our database1, Zhongjie Wang authored at least 13 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison.
Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 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
Characterizing Transnational Internet Performance and the Great Bottleneck of China.
Proc. ACM Meas. Anal. Comput. Syst., 2020

A4 : Evading Learning-based Adblockers.
CoRR, 2020

SymTCP: Eluding Stateful Deep Packet Inspection with Automated Discrepancy Discovery.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

You do (not) belong here: detecting DPI evasion attacks with context learning.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

DNS Cache Poisoning Attack Reloaded: Revolutions with Side Channels.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

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

Principled Unearthing of TCP Side Channel Vulnerabilities.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Off-Path TCP Exploits of the Challenge ACK Global Rate Limit.
IEEE/ACM Trans. Netw., 2018

2017
Investigation of the 2016 Linux TCP Stack Vulnerability at Scale.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Your state is not mine: a closer look at evading stateful internet censorship.
Proceedings of the 2017 Internet Measurement Conference, 2017

2016
Off-Path TCP Exploits: Global Rate Limit Considered Dangerous.
Proceedings of the 25th USENIX Security Symposium, 2016


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