Name: ADS Drinks & Data: Ethical Hacking
Start: 2022-12-07T16:00:00+01:00
End: 2022-12-07T18:30:00+01:00
Location: Centrum Wiskunde & Informatica

In this Meetup we will dive into the field of Ethical Hacking, Cyber Security, IT Security and the future of AI regarding these topics.

**Location:** [CWI](https://www.cwi.nl/), Room: L017 on the ground floor
**Address:** Science Park 123, 1098 XG Amsterdam

**Programme**
15:55 Walk-in
16:00 Introduction & Welcome
16:05 **Talk #1:** [Chenglu Jin](https://www.linkedin.com/in/chenglujin/?originalSubdomain=nl) (CWI)
16:20 Discussion
16:25 **Talk #2:** (Interlogica)
16:40 Discussion
16:45 **Talk #3:** Francesco Regazzoni (IvI, UvA)
17:00 Discussion
17:05 End of talks, start Networking
18:00 End!

**Talk #1** by Chenglu Jin (CWI)
**Attacking Physical Unclonable Functions Using Machine Learning**
Physical Unclonable Functions (PUFs) are an emerging hardware security primitive that leverages the manufacturing process variation to produce unique digital fingerprints for individual hardware devices. PUFs can be used for identification or authentication due to their uniqueness and unclonability. However, attackers can build a machine learning model of PUFs and thus violate the security guarantees of PUFs. This talk will introduce the concept of PUF, explain machine learning attacks on PUFs, and call for a more robust design of PUFs.

**Talk #2** (Interlogica)
TBA

**Talk #3** Fransesco Regazzoni (IvI, UvA)
**Automatic Application of Physical Attacks Countermeasures**
Physical attacks exploit the physical weaknesses of
cryptographic devices to reveal the secret information stored on them.
Countermeasures against these attacks are often considered only in the later stages of the full design flow, and applied manually by designers with strong security expertise. This approach, however, negatively affects the robustness, the cost, and the production time of secure devices. This talk will introduce physical attacks, revise and summarize the research efforts in automatically applying countermeasures against them, and highlight possible research directions in the domain.

Anna-Rose Clayton

Amsterdam AI (AAI) Meetup

Technology

Computer Programming

Robotics

Business Analytics

Artificial Intelligence

Machine Learning

Business Intelligence

Big Data

Data Visualization

Data Analytics

Predictive Analytics

Data Mining

Data Science

Deep Learning

ADS Drinks & Data: Ethical Hacking

Centrum Wiskunde & Informatica

Delen

Amsterdam AI (AAI) Meetup

ADS Drinks & Data: Ethical Hacking

Amsterdam AI (AAI) Meetup

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