Llms Data Control Path Insecurity Communications Of The Acm Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations like, say, on the internet. There were all sorts of related hacks, such as faking the tones that signaled coins dropping into a pay phone and faking tones used by repair equipment. at&t could sometimes change the signaling tones, make them more complicated, or try to keep them secret.
Ai Topics On Linkedin Llms Data Control Path Insecurity Semantic scholar extracted view of "llms’ data control path insecurity" by bruce schneier. Commun. acm number 9 pages 31–32 publisher association for computing machinery volume 67 numpages 2 issn 0001 0782 issue date september 2024 doi 10.1145 3660674 url doi.org 10.1145 3660674. Someday, some ai researcher will figure out how to separate the data and control paths. until then, we’re going to have to think carefully about using llms in potentially adversarial situations—like on the internet. This was possible because data and control signals shared the same channel. the issue was resolved in the 1980s with the introduction of ss7, which separated voice and control commands.
Romulo Cholewa On Linkedin Llms Data Control Path Insecurity Someday, some ai researcher will figure out how to separate the data and control paths. until then, we’re going to have to think carefully about using llms in potentially adversarial situations—like on the internet. This was possible because data and control signals shared the same channel. the issue was resolved in the 1980s with the introduction of ss7, which separated voice and control commands. The real problem here is the same one that plagued the pre ss7 phone network: the commingling of data and commands. as long as the data—whether it be training data, text prompts, or other input into the llm— is mixed up with the commands that tell the llm what to do, the system will be vulnerable. This general problem of mixing data with commands is at the root of many of our computer security vulnerabilities. in a buffer overflow attack, an attacker sends a data string so long that it turns into computer commands. Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet. Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet.
Application Security Ai Llms And Ml Threats Defenses 20240526 The real problem here is the same one that plagued the pre ss7 phone network: the commingling of data and commands. as long as the data—whether it be training data, text prompts, or other input into the llm— is mixed up with the commands that tell the llm what to do, the system will be vulnerable. This general problem of mixing data with commands is at the root of many of our computer security vulnerabilities. in a buffer overflow attack, an attacker sends a data string so long that it turns into computer commands. Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet. Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet.
Communications Of The Acm Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet. Someday, some ai researcher will figure out how to separate the data and control paths. until then, though, we’re going to have to think carefully about using llms in potentially adversarial situations…like, say, on the internet.
Communications Of The Acm
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