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Both tool participants and outsiders such as industry partners can propose benchmarks. All benchmarks must be in .onnx format and use .vnnlib specifications, as was done last year. Each benchmark must…
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I utilized MIPVerify to generate an adversarial example for the MNIST dataset. Here are the findings: I acquired an adversarial example through MIPVerify. However, during the actual inference process,…
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From my perspective, this method is somewhat similar to DiffPure but only with a more powerful pixel-space diffusion model (DeepFloyd IF's super-resolution model). It is known that DiffPure can be byp…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
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Informieren, was Adversarial Attacks sind, relevante Themen finden und mögliche Fragestellungen definieren.
Mögliche Fragestellungen sollten gesammelt werden.
Liste erstellen der potentiellen Fragest…
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While creating a demo for today's presentation, I came across a point where Marabou terminates with a SAT point, but the SAT point does not satisfy the constraints of the problem.
Problem setup:
W…
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Currently, Armory supports two implicit inference actions during an evaluation run: benign and adversarial. That is, for each batch of the dataset, Armory performs a benign/unperturbed evaluation and …
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Try a few things to see what helps the case of very unbalanced datasets (in terms of cells per perturbation).
1. simulated dataset
2. try re-weighting the loss function for class balance
3. try t…
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search for papers and look into them regarding the fingerprints of GANs and diffusion models in their output