THE HIDDEN THREAT IN AI: BACKDOOR ATTACKS IN CLIP MODELS
CLIP models are shockingly vulnerable to backdoor attacks, where just a tiny amount of poisoned data can lead to near 100% success in hijacking the model. The fix? Using local outlier detection to spot these hidden threats in datasets. With AI’s growing role, this issue is something we can’t ignore if we want to keep systems safe and reliable. It’s like having a tiny, almost invisible flaw in a seemingly perfect lock.