Digital image watermarking has become a popular technique for authentication and copyright protection. For verifying the security and robustness of watermarking algorithms, specific attacks have to be applied to test them. This paper presents different attacks approaches which are based on the estimation of the parameters used. The exploitation of the properties of Back propagation neural network gives good results for detection.