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UID:pretalx-hf2024-9Q9FKQ@cfp.hackfest.ca
DTSTART;TZID=EST:20241012T143000
DTEND;TZID=EST:20241012T152000
DESCRIPTION:AI and LLM based applications are taking the industry by storm.
  While a lot time is spent on evaluating prompt injection there is an enti
 re ecosystem of applications that allow models to be run and used. These a
 pplications have their own security considerations that you should be awar
 e of.\n\nInference Servers are used to host machine learning models and ex
 pose APIs that allow other components to perform inference on those models
 . These servers often expose additional APIs that allow users to load new 
 models into them\, which can be abused to perform remote code execution. W
 hile this technology is new\, the baseline security configurations for man
 y of these products are a relic from the past.\n\nIn this talk I will talk
  about what an inference server is\, how they work\, and explain how you c
 an achieve remote code execution in them. This talk will be more focused o
 n practical security risks involved in this ecosystem.  I will also share 
 the details for a couple of CVEs related to TorchServe.
DTSTAMP:20260317T152804Z
LOCATION:Track 2 (206a)
SUMMARY:Inference Servers: new technology\, same old security flaws. - Prat
 ik Amin
URL:https://cfp.hackfest.ca/hf2024/talk/9Q9FKQ/
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