How to Protect Model Inversion Attacks in AI-Based Systems

Introduction

Have you ever wondered how hackers take private information that a normal human can’t get his hands on, Hackers use AI models to invade privacy and try to steal information like photos, medical records, or passwords. This is known as a Model Inversion Attack(MIA).

Let’s learn how to keep hackers away from stealing our privacy and stop the Model Inversion Attack. some easy ways to make it happen are:

1. To Stop Model Inversion Attack Add Random Changes

AI can add some random changes in the real data to hide the exact information and to save the privacy from the hacker. Adding some random changes to the information can completly confuse the hacker, Imagine telling a real story to some one but you dont want them to know the place of the story so you replace the real place with some random place, this will prevent you from revealing the exact location.

Learn more about adversarial noise and privacy protection: MIT Technology Review

2. Stop AI from Remembering Everything

Suppose that AI is just similar to a student if the student memorizes a full notebook then sometimes accidentally the AI can exactly repeat the sentences from the notebook which will reveal the specific information. But if it remembers only specific important key terms then it can answer questions without revealing exact information, Similarly if AI only focuses on key terms instead of learning the whole concept it can prevent leaking information to hackers.

3. Control Who Can Use AI

Picture a Staff Room where only few people with staff can enter, Similarly AI do the same thing

a. Only few trusted user should have access.

b. Hackers often ask thousands of tricky question to steal information. If we limit how many question someone can ask it will make harder for hackers o hack into system and it prevent them from steal information

4. Teach AI to Recognize Hackers

Suppose you have a well trained dog who can actually get alert whenever he see a suspicious person around him, similarly if we train AI to suspect suspicious activities around him. So, whenever there is something suspicious going on AI can ignore him and get alert

Read about AI security techniques: IBM Security Intelligence

5. Hide Extra Detail in AI’s Answer

Think of it like that, If someone ask “how many people live in India?” so, instead of giving him the exact number you give him the average that around “between 140 to 150 crore” to keep things safe

By removing the exact data, we can stop hackers from extracting any private information

6. Train AI Without Sending Data to One Place

In most of the cases AI collect all of the information in one big database which make it easier for hackers to stole data because if someone hacks the database they will get every single bit of information. To prevent this from happening we can make AI learn on every individual device specifically without sending all the data at one place, with this way we have many benefits that are:

a. AI gets smarter

b. User data will be safe in their own devices without any problem and they don’t have to think about their privacy.

c. Hackers won’t be able to steal information because there is nothing specific to collect all the data.

7. Use a Simple Copy of AI Instead of the Original

Suppose your best friend is a master chef and he creates a new recipe and you ask him that you want to know that how to make it. So, instead of telling you the real recipe he trains you to make the dish in your own way by telling you some details.

Similarly, instead of using the original model create a smaller version of it. So even if hacker hacks into the system, they won’t get real private data

8. Watch for Suspicious Behavior For Preventing Model Inversion Attack

Imagine a security guard pointed on gate an suddenly a person came and start asking suspicious question and trying some weird tricks. SO, security guard alert everyone and block him from entering the gate

Similarly if someone ask to many weird question to AI or tries some weird tricks AI go alert and raise an alarm or even block them before they can actually do anything.

Final Thoughts- Model Inversion Attack(MIA)

By using some simple tricks we can stop hackers from stealing information and stop Model Inversion Attack that are:

1. Add some random changes in the system
2. Stop collecting all the data at one place, instead of t
3. his make the system collect it’s own data.
4. Put a limit on how much we can research.
5. Train AI to recognize hackers.

For more related Bugs and Fixes content visit : AI Fairness and Ethical Dilemma Bugs