Pacifo speeds encrypted ResNet20 inference while keeping most accuracy
Runtime is 3.7 to 21.7 times faster than prior FHE ResNet20 work, retaining 95% to 99% plaintext accuracy.
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Stories tagged #resnet
HDC-FL clusters classifier heads for personalized federated learning
On 11 CIFAR setups with ResNet-18 and MobileNetV2, it leads worst-client and bottom-20% accuracy without averaging heads.
AutoPoly-HE: Autonomous Design of Polynomial Activations for Privacy-Preserving Encrypted Inference
AutoPoly-HE automatically designs polynomial activations for encrypted inference across ResNet and Vision Transformer models.
UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
UnAct forgets classes with forward passes only and stays close to retraining when data is scarce.
ProtoSeam: Lifting Classifier Training with Latent Gaussian Mixture Models
ProtoSeam lifts classifier training with class prototypes, gaining up to five points without changing inference.
Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
Paper proves pixel-only image provenance has a minimax limit and shows public CLIP verifiers fail under edits.
Reinforcement Learning Inspired Black-box Adversarial Attacks for Computer Vision
A reinforcement-learning black-box attack fools vision models with fewer queries than earlier methods.
Learning Cardiac Features: ECG Biometrics Across Time and~Exercise
A Siamese ResNet identifies people from ECG under exercise stress and across sessions at low error rates.