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Found 6 papers, 0 papers with code
Search Space of Adversarial Perturbations against Image Filters
Recent findings have shown that deep learning systems are very weak to adversarial examples, an attack form that was altered by the attacker's intent to deceive the deep learning system.
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
Deep neural networks are being applied in many tasks with encouraging results, and have often reached human-level performance.
Image Transformation can make Neural Networks more robust against Adversarial Examples
We found giving a rotation to an adversarial example image can defeat the effect of adversarial examples.
Distributed Constraint Problems for Utilitarian Agents with Privacy Concerns, Recast as POMDPs
Privacy has traditionally been a major motivation for distributed problem solving.
Utilitarian Distributed Constraint Optimization Problems
The Distributed Constraint Optimization Problem (DCOP) is a fundamental model used to approach various families of distributed problems.
DisCSPs with Privacy Recast as Planning Problems for Utility-based Agents
In these extensions we assume that the planning problem is further restricting the set of communication actions to only the communication primitives present in the corresponding solver protocols.
