Tag Archives: ai

[devnexus 2024] More tales from the Dark Side: How AI is the bad guys new friend[devnexus 2024] dark tales ai

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Speaker: Stevel Poole

@spoole167

For more, see the 2024 DevNexus Blog Table of Contents

General

  • Supply chain
  • Now we are all attack vectores

Wifi

  • We also use wifi
  • How many use VPN?
  • Easy to spoof wifi
  • Only need battery, raspberry pi and a few more things
  • Would you notice a box on the wall?

Charger

  • Plug in Mac laptop charger at conference
  • If leave unattended, someone could add hardware
  • Any USB has problem
  • USB data cable and power cable look same

Hotel rooms

  • Hidden camera
  • In some countries during cold war, used human cherography to influence where sit
  • Becoming more common
  • More people are pass thru to company now

Phishing

  • Getting better
  • More targetting. Can know how company does things. Or knowing boss;’ namePhishing -> Spear Phishing -> Personalized Attacks
  • Moving towards more organized and long term attacks

Adding AI

Bad things can do

  • Deepfake nude generator
  • Deepfake phishing grew by three thousand percent in 2023

Why now

  • Not hard to do a reasonable fake. USB acceleration is sixty bucks
  • Huggingface.co has lots of models
  • Models and data avaialble to you and bad guys

Other problems

How Protect

  • Paper on identifying mouth inconsistencies for lip synching
  • Text/numbers wrong
  • Find anomalies from lack of training data – this is going to be an arms race. Once AI knows wrong, can do better next time.
  • Be more suspicious
  • Secure supply chain – all the pieces involved in creating and delivering software
  • Control AI tools in process
  • Look at where models came from and decide if safe. Will have to prove where got it from
  • Consider how train AI and when retrain it
  • Government wants a SBOM, automated supply chain, evidence of software integrity and regular aduit
  • SBOM (software bill of materials) don’t find malicious code but ensure you know what have

My take

Demos were great. Security has changed a lot. Good emphasis on depending on how much money you spend at it. It’s scary, but supposed to be. Need to think about what else I can do in my own life.

Someone challenged saying the grandparent scam sounds fake and nothing like the person. Steve didn’t get to reply, but it’s not a fare analogy. The grandparent same isn’t targeting (at least not much). Some targeting you specifically will have audio/bideo of you to base it off of. And then we are back to the 7 seconds is enough.

[dev nexus 2024] teaching your kid programming from the perspective of a kid

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Speaker: Cassandra Chin

@cassandraonjava

For more, see the 2024 DevNexus Blog Table of Contents

General

  • Steven Chin’s daughter.
  • Worked with coding and YAML in MInecraft
  • Starting teaching kids to program at 14 at conferences
  • Junior in college
  • Creating podcast at internship for younger people (ex college)

Tech diversity

  • 20 years of feale tech panels and still need
  • Women who try AP Comp Sci in high school ten times more like to major it.
  • Black/Latino students seven times more lilkely.
  • Need to provide opportunity
  • Even at 6 year old, kids think computers are more suited to boys. Fifth grade it tapers down so sweet spot for starting.

Kids and code

  • Schools mandate human/world languages, but not coding languages
  • Since schools dont always provide, parents need to
  • Not all screen time is equal
  • Limit youtube
  • Minecraft in middle
  • Best use is learning to code – ex: Scratch
  • Redirect computer use vs taking away

Mistakes for parents to avoid

  • Don’t leave your daughters out. Bring to tech event
  • Computers at home matter – an actual computer, not a tablet. Lets do more than play mobile games
  • Don’t need to be good at math. While Assembly requires math, nobody uses anymore Modern programs use logic, not math
  • Kids dislike math the most followed by foreight language. Computers is third highest. Both things above are types of art.
  • Don’t start with books like Discrete Math
  • Give examples of programmers that they can relate to
  • Don’t start with boring parts like what an array is. Better to start with legos
  • Don’t do the code for the kids. They won’t learn. Never grab mouse or keyboard. Means content too har

Geniuses

  • Anyone can learn to code. Don’t have to be super smart.
  • Kids told programmers are genious do worse than kids who think practies will make them better

Books

  • Phippys AI Friend – comes with online workshop that takes about an hour. Actually use boo as prop
  • Coding for Kids Python
  • GIrls who Code

Helping kids

  • Relate to your kids hobbies. Ex: discuss who built
  • Lego Spike – build robot and do block coding
  • Mbot (Make Block). Uses screws instead of legos. Don’t have to use blocks
  • Hour of Code. Lots of themes
  • Choose age appropriate. Often we choose twoo hard
  • Squishy circuits for 3-9 year olds
  • Raspberry Pi and Arduino – 9-15 years old
  • Groups of two works best. When three kids, the younest will often feel left out
  • Take kids to localy run workshops – ex: confernces, girls who code

My take

I like her responses to Todd’s mini interview a the begining while they dealt with AV issues. Great humor. I liked that she made a joke about her dad being there to tell jokes. I also like “I’m not the daughter of Steven Chin; I have a name”. Great content throughout hether new to the topic or not.

The content resonated well. I gave my best friends five year old (daughter) a toy robot for her fifth birthday. I enjoyed seeing her play. I now have a gift idea for next year!

I also liked the demo from her book!

mutation testing from a five year old (according to chatgpt)

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I asked ChatGPT to explain mutation testing to a five year old to see what it would say. I got this back:

Alright, imagine you have a big puzzle made of Lego blocks. Each block represents a piece of code that makes up a computer program. Now, let’s say we want to make sure that our puzzle is put together correctly so that our program works properly.

Mutation testing is like having a mischievous Lego wizard who comes and changes some of the pieces in our puzzle to see if we notice. He might swap a blue block for a red one, or turn a block upside down. After he’s done, we carefully check our puzzle again to see if it still looks right and if our program still works.

If we can still solve the puzzle and our program still works even with the changes the wizard made, then we know our puzzle – or our program – is really strong. But if we can’t solve the puzzle or our program stops working, then we know there’s a problem and we need to fix it. So, mutation testing helps us make sure our programs are really robust and can handle unexpected changes.

It’s a good example of how ChatGPT is an aide and not a solver. First paragraph is good. In the second part, I love the mischievous Lego wizard who comes and changes some of the pieces to see if we notice. It’s a good premise. We see if our program still works with the changes.

The third paragraph leads us astray. If we notice the change, that is good. If the program stops working it is also good, means we noticed the change. Mutation testing is about having good tests that can detect change. Not a robust program with unnecessary code that behaves the same way when changed.