feat: new version of report after attack

feat: adds hosting capabilities

feat: implements TGR attack with settable parameters

feat: adds support to resnet gradients in SAGA attack

fix: fixes mim attack, putting attention capture inside the attack loop

feat: adds visualization by head/layer

fix: saga attack is now correct

chore: organzing SAGA attack

fix: fixes MIM attack to init momentum on denormalized space

feat: adds MIM attack

feat: add new SAGA attack with attention capture

feat: add fgsm attack and model conversion file from timm to pytorch

feat: primeira versão