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Found 5 papers, 4 papers with code
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
To rectify this, we present PertEval, a toolkit devised for in-depth probing of LLMs' knowledge capacity through knowledge-invariant perturbations.
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
The motion module can be adapted to various DiT baseline methods to generate video with different styles.
EasyPhoto: Your Smart AI Photo Generator
By training a digital doppelganger of a specific user ID using 5 to 20 relevant images, the finetuned model (according to the trained LoRA model) allows for the generation of AI photos using arbitrary templates.
RemovalNet: DNN Fingerprint Removal Attacks
After our DNN fingerprint removal attack, the model distance between the target and surrogate models is x100 times higher than that of the baseline attacks, (2) the RemovalNet is efficient.
Backdoor Defense via Decoupling the Training Process
Recent studies have revealed that deep neural networks (DNNs) are vulnerable to backdoor attacks, where attackers embed hidden backdoors in the DNN model by poisoning a few training samples.
