In a black box attack, since the attacker does not understand the structure of the artificial intelligence system, they need to construct the appearance of the system through data collection. This means that the attacker needs to observe nearly 1,000 samples of system input and output, guess the internal architecture of the system based on the collected bahrain whatsapp number data 5 million data, and then launch an attack. The more information they have, the higher the chance of a successful attack. Black box attacks usually target systems that have been running for a long time because this means there are more samples for the attacker to choose from.
In a white-box attack, the attacker already knows the internal structure, parameters and other information of the system, and uses this knowledge to tamper with the data without leaving any trace to achieve the purpose of deceiving the system. The success rate of this type of attack is usually higher than that of a black box attack, but the process is challenging because the attacker needs to penetrate the system to understand how it works. Only then can they start to make changes to the data. This may sound counterintuitive: since it's already infiltrated into the system, why not just take control? This is because white-box attacks allow attackers to manipulate the system over time and continuously, making them more damaging in the long run.
