1 link tagged with all of: ai security + encryption + dan boneh + cryptography
Click any tag below to further narrow down your results
Links
Cryptographers from Stanford and a16z address whether recent AI breakthroughs threaten the math underpinning encryption. The short answer: recent AI progress on general math problems tells us almost nothing about cryptographic security, and even smarter AI can't solve problems that don't have efficient solutions.
- Recent AI math breakthroughs didn't include any cryptography results, so they reveal nothing about whether encryption methods are actually vulnerable.
- Modern cryptography assumes certain math problems have no efficient algorithm at all—not just that humans haven't found one yet. A smarter AI can't discover an algorithm that doesn't exist.
- AI could compress the years-long vetting process for new cryptographic systems by rapidly testing whether they can be broken, building confidence faster than traditional analysis.
- Cryptographic agility—the ability to switch between different encryption methods—already exists in systems like TLS and offers defense against both AI and quantum threats.