  Artificial intelligence is known as the most effective technological field
for rapid developments shaping the future of the world. Even today, it is
possible to see intense use of intelligence systems in all fields of the life.
Although advantages of the Artificial Intelligence are widely observed, there
is also a dark side employing efforts to design hacking oriented techniques
against Artificial Intelligence. Thanks to such techniques, it is possible to
trick intelligent systems causing directed results for unsuccessful outputs.
That is critical for also cyber wars of the future as it is predicted that the
wars will be done unmanned, autonomous intelligent systems. Moving from the
explanations, objective of this study is to provide information regarding
adversarial examples threatening the Artificial Intelligence and focus on
details of some techniques, which are used for creating adversarial examples.
Adversarial examples are known as training data, which can trick a Machine
Learning technique to learn incorrectly about the target problem and cause an
unsuccessful or maliciously directed intelligent system at the end. The study
enables the readers to learn enough about details of recent techniques for
creating adversarial examples.
