Research map / Adversarial robustness and security / Attacks on text and graphs
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add friendly and varying Bernoulli noise | ResNet-18 trained on CIFAR-10 · Gradient Matching (ξ=16) | Poison Acc: 75.00 -> 0.00 | Helped |
| Add friendly and varying Bernoulli noise | ResNet-18 trained on CIFAR-10 · Gradient Matching (ξ=16) | Test Acc: 93.50 -> 91.52 | Hurt |
| Combine friendly noise with varying random noise rather than using friendly noise alone (ablation) | FrieNDs on ResNet-18 · Gradient Matching (ξ=16) | Poison Acc: 10.00 -> 0.00 | Helped |
| Combine friendly noise with smaller Gaussian noise rather than using Gaussian noise alone (ablation) | FrieNDs on ResNet-18 · Gradient Matching (ξ=16) | Test Acc: 89.46 -> 91.50 | Helped |
| Use friendly noise without varying random noise (ablation) | FrieNDs on ResNet-18 · Gradient Matching (ξ=16) | Poison Acc: 0.00 -> 10.00 | Hurt |
| Replace Bernoulli random noise with uniform noise (ablation) | FrieNDs on ResNet-18 · Gradient Matching (ξ=16) | Poison Acc: 0.00 -> 5.00 | Hurt |
| Replace the L2 friendly-noise objective with L1 (ablation) | FrieNDs-B on ResNet-18 · Gradient Matching (ξ=16) | Test Acc: 91.52% -> 91.50% | No clear effect |
| Replace the L2 friendly-noise objective with L∞ (ablation) | FrieNDs-B on ResNet-18 · Gradient Matching (ξ=16) | Test Acc: 91.52% -> 91.37% | No clear effect |
| Use FrieNDs-B against Sleeper Agent | Sleeper Agent defense on 24 datasets · Sleeper Agent | Poison Acc: 83.48% -> 21.52% | Helped |
| Use FrieNDs-B against Sleeper Agent | Sleeper Agent defense on 24 datasets · Sleeper Agent | Test Acc: 91.56% -> 89.76% | Hurt |
| Adapt Sleeper Agent poison generation to Bernoulli noise | FrieNDs-B · Adaptive Sleeper Agent attack | Poison Acc: 21.52 ± 8.39 -> 31.05 ± 9.45 | Mixed |
| Adapt Sleeper Agent poison generation to FrieNDs-B | FrieNDs-B · Adaptive Sleeper Agent attack | Poison Acc: 21.52 ± 8.39 -> 30.50 ± 9.40 | Mixed |
Closest papers by meaning
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- Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis (CVPR 2025 · similarity 0.87)
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