Users who deployed the nightly builds of PyTorch between Christmas and New Year’s Eve likely received a rogue package as part of the installation that siphoned off sensitive data from their systems. The incident was the result of an attack called dependency confusion that continues to impact package managers and development environments if hardening steps are not taken.

“If you installed PyTorch nightly on Linux via pip between December 25, 2022, and December 30, 2022, please uninstall it and torchtriton immediately, and use the latest nightly binaries (newer than December 30, 2022),” the PyTorch maintainers said in a security advisory.

To read this article in full, please click here

Read More

Music-streaming service Deezer has owned up to a data breach, after hackers managed to steal the data of over 200 million of its users.

Read More

A group of Chinese researchers have just published a paper claiming that they can—although they have not yet done so—break 2048-bit RSA. This is something to take seriously. It might not be correct, but it’s not obviously wrong.

We have long known from Shor’s algorithm that factoring with a quantum computer is easy. But it takes a big quantum computer, on the orders of millions of qbits, to factor anything resembling the key sizes we use today. What the researchers have done is combine classical lattice reduction factoring techniques with a quantum approximate optimization algorithm. This means that they only need a quantum computer with 372 qbits, which is well within what’s possible today. (The IBM Osprey is a 433-qbit quantum computer, for example. Others are on their way as well.)

The Chinese group didn’t have that large a quantum computer to work with. They were able to factor 48-bit numbers using a 10-qbit quantum computer. And while there are always potential problems when scaling something like this up by a factor of 50, there are no obvious barriers.

Honestly, most of the paper is over my head—both the lattice-reduction math and the quantum physics. And there’s the nagging question of why the Chinese government didn’t classify this research. But…wow…maybe…and yikes! Or not.

“Factoring integers with sublinear resources on a superconducting quantum processor”

Abstract: Shor’s algorithm has seriously challenged information security based on public key cryptosystems. However, to break the widely used RSA-2048 scheme, one needs millions of physical qubits, which is far beyond current technical capabilities. Here, we report a universal quantum algorithm for integer factorization by combining the classical lattice reduction with a quantum approximate optimization algorithm (QAOA). The number of qubits required is O(logN/loglogN ), which is sublinear in the bit length of the integer N , making it the most qubit-saving factorization algorithm to date. We demonstrate the algorithm experimentally by factoring integers up to 48 bits with 10 superconducting qubits, the largest integer factored on a quantum device. We estimate that a quantum circuit with 372 physical qubits and a depth of thousands is necessary to challenge RSA-2048 using our algorithm. Our study shows great promise in expediting the application of current noisy quantum computers, and paves the way to factor large integers of realistic cryptographic significance.

In email, Roger Grimes told me: “Apparently what happened is another guy who had previously announced he was able to break traditional asymmetric encryption using classical computers…but reviewers found a flaw in his algorithm and that guy had to retract his paper. But this Chinese team realized that the step that killed the whole thing could be solved by small quantum computers. So they tested and it worked.”

EDITED TO ADD: One of the issues with the algorithm is that it relies on a recent factoring paper by Peter Schnorr. It’s a controversial paper, and despite the “this destroys the RSA cryptosystem” claim in the abstract, does nothing of the sort. Schnorr’s algorithm works well with smaller moduli—around the same order as the Chinese group has tested—but falls apart at larger sizes. And, at this point, nobody understands why. If that’s true, the techniques in this Chinese paper won’t scale either.

Read More