The 3rd edition of the Crypto Valley Conference will be held on On June 11-12 in Rotkreuz, Switzerland, with two days of in-depth discussions on the current state and future of blockchain technology.
More information will follow shortly. To access the event’s website, click below.
The Crypto Valley is now connecting Zug with Romandie. The Valley is Switzerland in its integrality, and beyond. To celebrate this major step, the Crypto Valley Association is officially launching its Western Switzerland Chapter on December 02 at EPFL, Lausanne. Join them in order to meet the dynamic local blockchain and crypto community. During the event, a specific focus will be kept on crypto finance, digital assets and blockchain education.
December 2nd, 2019 @ 17:00-19:00, Polydôme EPFL
By Prof. Wei Meng, Chinese University of Hong Kong
Click is the prominent way that users interact with web applications. Attackers aim to intercept genuine user clicks to either send malicious commands to another application on behalf of the user or fabricate realistic ad click traffic. In this talk, Prof. Wei Meng investigates the click interception practices on the Web.
Tuesday July 23rd, 2019 @10:00, room BC 420
Citizens have a right to an explanation of the decisions affecting them. However, if AIs are to be used in decision procedures, how can we explain complex AI systems to the general public, while so many computer scientists find them inscrutably opaque? In this presentation, an optimistic approach to this seemingly hopeless question will be presented.
Cloud computing
Just as the EU AI Act’s enforcement provisions took effect, Brussels became the first jurisdiction in the world to formally engage OpenAI and Anthropic over their rogue AI agent hacks — no lawsuit needed, no brave plaintiff required. This stands in sharp contrast to the U.S., where accountability remains stuck in legal limbo. When it (…)
This article reveals a fundamental benchmarking problem with AI agents. The rogue agent didn’t fail — it succeeded at what it was told, not what was meant. Raghavan and Schneier call this the Genie coefficient — the gap between literal instruction and true intent — and as AI agents grow more capable, measuring it becomes (…)
It’s nice to see that quantum-secure algorithms find their way into common libraries for everybody to use. This is a necessary step to make sure that these new algorithms are used in everyday apps. Of course there will be some back-and-forth, until all security bugs are ironed out.
Fake Korean “dopamine sites” that mimic online shopping without requiring actual purchases… The creativity on the internet never ceases to amaze me! Although this summer read seems lighthearted, it raises some of the usual serious concerns about digitalization. First, it reminds us of the devastating effects of online addiction to shopping and social networks. Then, (…)
Living in the world of LLMs often makes me wonder about the details of how they work and how they have developed over the years. This article is an extensive (600 pages) reference that includes LLM theory, training, benchmarking, all the way up to how to set up agentic systems. I like to open a (…)
The recent autonomous cyber intrusion by OpenAI against Hugging Face underscores AI’s dual-use risks. In response, the US House is weighing a bill to empower the Department of Homeland Security to shut down or slow AI models that the government deems too dangerous. The bill’s implications for non-US AI models remain ambiguous. Unlike a June (…)
It always stuns me how companies can invoke ‘consent’ when almost no one reads the pages-long terms and conditions, and even those who do probably won’t understand much of it anyway, and still it’s considered legally valid . What’s new here is that this so-called consent isn’t just meaningless to users; this article documents how (…)
The 4th Call for Large Projects is now open!
Submission deadline 14 September 2026 (17:00 CEST).
Samsung Health’s updated consent policy, which requires users to either accept the use of their health data for AI training or lose their data, highlights the dilemma of the AI era: the trade-off between privacy and features. Personal health data is clearly a goldmine that fuels AI improvement, but this is being achieved through opaque (…)
Here is a chronological top-30 (well, top-27) of research articles showing how modern LLMs developed – from the first convolutional neuronal networks for image classification all the way to transformers and how to optimise them. If you’re wondering how this technology developed, what some of the shortcomings are, and what the most active development topics (…)
This article is interesting because Schneier, writing primarily about AI safety and the futility of model bans, incidentally reframes the entire AI sovereignty debate. Everyone is fighting over frontier models: the expensive, inaccessible layer. But the harness, the code that orchestrates and directs AI models, is where power actually lives. It is buildable today, and (…)
While I generally agree with this nuanced discussion about how use of ‘AI’ in a plethora of government processes is neither new nor necessarily bad, I think an important point that it only indirectly addresses is that we should avoid using these systems as a panacea for overrun and underfunded public services.
This piece is interesting for managers because it reframes sovereignty as a company-level operating challenge rather than a geopolitical abstraction. Instead of blacklisting vendors, a reactive and politically driven mistake, organizations must consider which services are critical and how to maintain them. Geopolitics has entered the boardroom, and the technical scope now explicitly encompasses cloud (…)
A slightly morbid example of how you never know what your data might eventually be used for. Although this is not exactly a classical case of your privacy being violated, I have some doubts that everyone who enthusiastically chased cute virtual monsters in their neighborhood would also have volunteered to collect data to train military (…)
Canada’s new AI strategy treats AI as critical infrastructure and targets all layers of the sovereignty stack, from cloud infrastructure and semiconductor capacity to data ownership and talent development. Notably, the strategy includes support for SMEs as a key lever toward AI sovereignty. I’m eager to see what AI sovereignty will look like in five (…)
Amongst all the big news, I really like blog posts like this – just a cryptographer finding an interesting oddity, deciding to dig into it, and sharing their findings with the rest of us, even if nothing big came of it.
The rise of powerful large language models (LLMs) such as Mythos and ChatGPT 5.5, alongside agentic AI systems like MDASH, has sparked concern in cybersecurity due to their ability to identify and exploit large numbers of zero-day vulnerabilities, prompting calls for significantly stronger IT defenses. This shift also presents an opportunity: by democratizing access to (…)
In case you want to start a small project, but want to avoid the US or Chinese hyperscalers, here are some EU-owned solutions for you. I like this list, not because I want to promote these services, but rather because it shows that the EU is gaining traction on providing credible and competitive basic services. (…)
Now even the pope chimes in on giving his ideas how to use LLMs in a responsible way. His name predecessor, Leo the XIII, had many things to say about responsible capitalism. Now is the time to set the agenda straight with regards to LLMs: the pope puts the human in the center again, asks (…)
