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Model Inversion on CelebA (private)

93.52AccuracyNo Def.
83.005685.735388.46591.1947May 9, 2024

Evaluation results

MethodLinks
No Def.Attack Method=LOMMA-K, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=62.6/62.62024.0593.5296.499.671,038
No Def.Attack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=62.6/62.62024.0593.5273.47901,290
No Def.Attack Method=LOMMA-G, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=62.6/62.62024.0593.5264.67861,401
No Def.Attack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=62.6/62.62024.0593.5245.270.671,503
No Def.Attack Method=LOMMA-K, D_pub=CelebA, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=16.8/16.82024.058995.6796.681,158
No Def.Attack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=16.8/16.82024.058958.6861,390
No Def.Attack Method=LOMMA-G, D_pub=CelebA, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=16.8/16.82024.058956791,454
No Def.Attack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=16.8/16.82024.05892752.331,642
No Def.Attack Method=LOMMA-K, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=35.4/35.42024.0588.589.3398.671,226
No Def.Attack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=35.4/35.42024.0588.570.2790.331,391
No Def.Attack Method=LOMMA-G, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=35.4/35.42024.0588.560801,501
No Def.Attack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=35.4/35.42024.0588.530.6621,625
TL-DMIAttack Method=LOMMA-K, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=17.8/62.62024.0586.777.7394.671,305
TL-DMIAttack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=17.8/62.62024.0586.745.2774.331,474
TL-DMIAttack Method=LOMMA-G, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=17.8/62.62024.0586.741.8770.671,551
TL-DMIAttack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=IR152, Parameter Ratio (|θc|/|θt|)=17.8/62.62024.0586.722.8743.671,650
TL-DMIAttack Method=LOMMA-K, D_pub=CelebA, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=13.9/16.82024.0583.4175.6791.681,304
TL-DMIAttack Method=LOMMA-K, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=34.4/35.42024.0583.4179.6971,345
TL-DMIAttack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=13.9/16.82024.0583.4136651,550
TL-DMIAttack Method=LOMMA-K, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=34.4/35.42024.0583.4119.5341.331,759
TL-DMIAttack Method=LOMMA-G, D_pub=CelebA, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=13.9/16.82024.0583.412245.331,709
TL-DMIAttack Method=LOMMA-G, D_pub=CelebA, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=34.4/35.42024.0583.4143.67651,616
TL-DMIAttack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=ImageNet1K, Target Architecture=VGG16, Parameter Ratio (|θc|/|θt|)=13.9/16.82024.0583.418.87241,829
TL-DMIAttack Method=LOMMA-G, D_pub=FFHQ, D_pretrain=MS-CelebA-1M, Target Architecture=FaceNet64, Parameter Ratio (|θc|/|θt|)=34.4/35.42024.0583.419.3324.331,909