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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Blog Post number 3
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Blog Post number 2
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
Blog Post number 1
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
cv
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Dynamic traffic feature camouflaging via generative adversarial networks Permalink
Jie Li, Lu Zhou, Huaxin Li, Lu Yan, Haojin Zhu
Published in 2019 IEEE Conference on Communications and Network Security (CNS), 2019
MTFuzz: fuzzing with a multi-task neural network Permalink
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
Published in Proceedings of the 28th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering (ESEC/FSE 2020), 2020
CrossFix: Resolution of GitHub issues via similar bugs recommendation Permalink
Shin Hwei Tan, Ziqiang Li, Lu Yan
Published in Journal of Software: Evolution and Process, 2021
D^3: Detoxing Deep Learning Dataset Permalink
Lu Yan, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Xuan Chen, Kaiyuan Zhang, Yunshu Mao, Xiangyu Zhang
Published in NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and the Ugly, 2023
Parafuzz: An interpretability-driven technique for detecting poisoned samples in nlp Permalink
Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
Published in Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia Permalink
Guangyu Shen, Siyuan Cheng, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Lu Yan, Zhuo Zhang, Shiqing Ma, Xiangyu Zhang
Published in Preprint, 2024
Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion Permalink
Shengwei An*, Lu Yan*, Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Xiangyu Zhang
Published in Proceedings of the 33rd USENIX Security Symposium (USENIX Security 2024), 2024
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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teaching
Teaching experience 1
This is a description of a teaching experience. You can use markdown like any other post.
Undergraduate course, University 1, Department, 2014
Teaching experience 2
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015