Increasing Confidence in Adversarial Robustness Evaluations. (arXiv:2206.13991v1 [cs.LG])
Hundreds of defenses have been proposed to make deep neural networks robust against minimal (adversarial) input perturbations. However, only a...
Security World News
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On the amplification of security and privacy risks by post-hoc explanations in machine learning models. (arXiv:2206.14004v1 [cs.LG])
A variety of explanation methods have been proposed in recent years to help users gain insights into the results returned...
Reasoning about Moving Target Defense in Attack Modeling Formalisms. (arXiv:2206.14076v1 [cs.CR])
Since 2009, Moving Target Defense (MTD) has become a new paradigm of defensive mechanism that frequently changes the state of...
On the amplification of security and privacy risks by post-hoc explanations in machine learning models. (arXiv:2206.14004v1 [cs.LG])
A variety of explanation methods have been proposed in recent years to help users gain insights into the results returned...
Reasoning about Moving Target Defense in Attack Modeling Formalisms. (arXiv:2206.14076v1 [cs.CR])
Since 2009, Moving Target Defense (MTD) has become a new paradigm of defensive mechanism that frequently changes the state of...
Special subsets of addresses for blockchains using the secp256k1 curve. (arXiv:2206.14107v1 [cs.CR])
In 2020 Sala, Sogiorno and Taufer have been able to find the private keys of some Bitcoin addresses, thus being...
Special subsets of addresses for blockchains using the secp256k1 curve. (arXiv:2206.14107v1 [cs.CR])
In 2020 Sala, Sogiorno and Taufer have been able to find the private keys of some Bitcoin addresses, thus being...
Gender Bias in Password Managers. (arXiv:2206.14136v1 [cs.CR])
For the first time, we report gender bias in people's choice and use of password managers, through a semi-structured interview...
Gender Bias in Password Managers. (arXiv:2206.14136v1 [cs.CR])
For the first time, we report gender bias in people's choice and use of password managers, through a semi-structured interview...
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. (arXiv:2206.14157v1 [cs.LG])
Model stealing attacks present a dilemma for public machine learning APIs. To protect financial investments, companies may be forced to...
