Update README.md

README.md

@@ -2,10 +2,14 @@
 
 *Helping Ethical Hackers use LLMs in 50 Lines of Code or less..*
 
-How can LLMs aid or even emulate hackers? Threat actors are [already using LLMs](https://arxiv.org/abs/2307.00691), to better protect against this new threat we must learn more about LLMs' capabilities and help blue teams to prepare for them.
+HackingBuddyGPT helps security researchers use LLMs to discover new attack vectors and save the world (or earn bug bounties) in 50 lines of code or less. In the long run, we hope to make the world a safer place by empowering security  professionals to get more hacking done by using AI. The more testing they can do, the safer all of us will get.
 
 We aim to become **THE go-to framework for security researchers** and pen-testers interested in using LLMs or LLM-based autonomous agents for security testing. To aid their experiments, we also offer re-usable [linux priv-esc benchmarks](https://github.com/ipa-lab/benchmark-privesc-linux) and publish all our findings as open-access reports. All source code can be found on [github](https://github.com/ipa-lab/hackingbuddyGPT).
 
+How can LLMs aid or even emulate hackers? Threat actors are [already using LLMs](https://arxiv.org/abs/2307.00691), to better protect against this new threat we must learn more about LLMs' capabilities and help blue teams to prepare for them.
+
+**Join us / Help us, more people need to be involved in the future of LLM-assisted pen-testing:**
+
 To ground our research in reality, we performed a comprehensive analysis into [understanding hackers' work](https://arxiv.org/abs/2308.07057). There seems to be a mismatch between some academic research and the daily work of penetration testers, please help us to create more visibility for this issue by citing this paper (if suitable and fitting).
 
 hackingBuddyGPT is described in [Getting pwn'd by AI: Penetration Testing with Large Language Models ](https://arxiv.org/abs/2308.00121), help us by citing it through:
@@ -23,8 +27,15 @@ hackingBuddyGPT is described in [Getting pwn'd by AI: Penetration Testing with L
 }
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+### Let's get connected!
+
 The project originally started with [Andreas](https://github.com/andreashappe) asking himself a the simple question during a rainy weekend: *Can LLMs be used to hack systems?* Initial results were promising (or disturbing, depends whom you ask) and led to the creation of our motley group of academics and professinal pen-testers at TU Wien's [IPA-Lab](https://ipa-lab.github.io/).
 
+Feel free to connect or talk with us on various platforms:
+
+- Andreas Happe: [github](https://github.com/andreashappe), [linkedin](https://at.linkedin.com/in/andreashappe), [twitter/x](https://twitter.com/andreashappe), [Google Scholar](https://scholar.google.at/citations?user=Xy_UZUUAAAAJ&hl=de)
+- Juergen Cito, [github](https://github.com/citostyle), [linkedin](https://at.linkedin.com/in/jcito), [twitter/x](https://twitter.com/citostyle), [Google Scholar](https://scholar.google.ch/citations?user=fj5MiWsAAAAJ&hl=en)
+
 ## Existing Agents/Usecases
 
 We strive to make our code-base as accessible as possible to allow for easy experimentation.
@@ -166,7 +177,7 @@ Being academics, we surely wrote papers about this:
 
 - [Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners](https://arxiv.org/abs/2308.07057), presented at [FSE'23](https://2023.esec-fse.org/)
 - [Getting pwn'd by AI: Penetration Testing with Large Language Models](https://arxiv.org/abs/2308.00121), presented at [FSE'23](https://2023.esec-fse.org/) 
-- [Got root? A Linux Privilege-Escalation Benchmark](), currently searching for a suitable conference/journal
+- [Got root? A Linux Privilege-Escalation Benchmark](https://arxiv.org/abs/2405.02106), currently searching for a suitable conference/journal
 - [LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks](https://arxiv.org/abs/2310.11409), currently searching for a suitable conference/journal
 
 # Disclaimers