As new attack strategies emerge, network intrusion detection systems are subject to increasing pressure. Accurate classification of potential threats requires both adequate analysis of complex data sets and effective utilisation of computational resources available.
Researchers Akanksha Pamena and Manohar Naik Sugali propose an approach combining deep learning for dimensionality reduction with attention modules: SAE-AM. Their solution proves highly effective, reaching 99% accuracy on benchmark datasets. Read the latest article on our website, “SAE-AM: Enhancing Network Intrusion Detection Using Sparse Autoencoders with Attention Modules” and learn more about their method. https://www.acigjournal.com/SAE-AM-Enhancing-Network-Intrusion-Detection-Using-Sparse-Autoencoders-with-Attention,213872,0,2.html
Akanksha Pamena, Manohar Naik Sugali, “SAE-AM: Enhancing Network Intrusion Detection Using Sparse Autoencoders with Attention Modules.” At the top of the image the logos of ACIG and NASK can be seen. At the bottom there is a tagline “New article.”
When I was still at university studying computer science, I wrote my thesis on geometric deep learning. (This was in 2021, before the world had heard of ChatGPT or LLMs.)
Geometric deep learning is a subfield of machine learning that combines deep learning with physics. You study concepts from physics such as symmetry, and apply those learnings to deep learning.
Again, this had nothing to do with #GenAI or with what is nowadays meant by "AI".
That subfield was pioneered by Prof. Michael Bronstein, an Israeli scientist and professor at Oxford in the UK. He also was Head of Machine Learning at Twitter (before Musk bought it) and used this tech to fight misinformation on Twitter.
After October 7, 2023 happened, many researchers in the Computer Vision field showed their true colors, their zionist face. Many researchers in Computer Vision are Israeli.
When at a talk at the main computer vision conference (CVPR), the audience was confronted that much of the tech they (the people who "don't care about politics" and "just want to work on interesting problems") research and develop, is actively used by #Israel to establish apartheid and oppress the Palestinian people, many Israeli researchers threw around the now all too familiar rejections and accusations of anti-semitism.
Lots of these researchers are still, in 2025, on X/Twitter. Lots of them work at big-name companies such as Nvidia or other companies my followers might perhaps still respect.
I admit that before October 2023 I didn't know anything about Israel or Palestine or their conflict.
After I finished my thesis, graduated, and left academia, two things happened:
ChatGPT was released and people started to confuse AI with "AI".
Israel began a #genocide, which opened my eyes to what scum zionists are, no better than Third Reich Germans who wanted more "Lebensraum".
I no longer work in computer vision. I no longer work with AI. I just can't reconcile it with my morals and what I believe to be right, now that I learned a bit more about the world outside of my academic bubble that was "interesting problems that are fun to work on".
So much of CV is not for the betterment of humanity but for surveillance and oppression, and to further the genocidal zionist vision.
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