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    adversarial

    Explore "adversarial" with insightful episodes like "Does the Adversarial System Serve Us Well?", "Adversarial Masturbation, Semen Notification, Cash For Oral, Large Areolae", "Adversarial Audio Attacks", "CL235: The Future Of Marketing And General Adversarial Networks - Interview with William Ammerman" and "DTL025 - onzichtbaar worden voor automatische detectie cameras middels adversarial networks" from podcasts like ""Gresham College Lectures", "YMMV Sex Podcast: Your Mileage May Vary", "Skilling me softly - Der Wissenschaftspodcast der Deutschen Telekom", "SuperCreativity Podcast with James Taylor | Creativity, Innovation and Inspiring Ideas" and "De Dataloog"" and more!

    Episodes (6)

    Does the Adversarial System Serve Us Well?

    Does the Adversarial System Serve Us Well?

    What is the adversarial tradition in English criminal and civil procedure, and how does it compare with the inquisitorial systems found in some civil law jurisdictions? What are the strengths and weaknesses of adversarial and inquisitorial jurisdictions? 

    Does our adversarial system truly deliver equality of arms between the powerful and the powerless? Have modern fair trial standards, such as those required by the European Court of Human Rights, -and other developments - brought the two families of systems closer together?


    A lecture by Leslie Thomas KC recorded on 9 March 2023 at Barnard's Inn Hall, London.

    The transcript and downloadable versions of the lecture are available from the Gresham College website: https://www.gresham.ac.uk/watch-now/adversarial-law

    Gresham College has offered free public lectures for over 400 years, thanks to the generosity of our supporters. There are currently over 2,500 lectures free to access. We believe that everyone should have the opportunity to learn from some of the greatest minds. To support Gresham's mission, please consider making a donation: https://gresham.ac.uk/support/

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    Adversarial Masturbation, Semen Notification, Cash For Oral, Large Areolae

    Adversarial Masturbation, Semen Notification, Cash For Oral, Large Areolae

    At core, I would call a "breeding fetish" just more or less being human. We have fun talking about sex, but at core it's serious business! Without sex, there would be no people. No one to even ask the great philosophical questions like, "Why are we here?" and "What is a woman?"

    This episode, we shortened our discussion of each topic in order to fit more in. We fit a lot more in. Our cup runneth over with topics. How to tell a woman you're about to climax? When does sex for money become prostitution (answer: quickly)?

    And much, much more.

    Oh, and by the way, try searching the term "jilling" on Google Images. I just did, looking for a good thumbnail for the episode. I wasn't disappointed.

    To follow along with the video discussed at the beginning of the episode:

    https://ymmv.me/59/jilling

    We get a lot of our questions from Reddit, so for our listeners' enjoyment, here are links to some of the questions we discussed this week:

    https://ymmv.me/59/heads-up

    https://ymmv.me/59/breeding-fetish

    https://ymmv.me/59/bj

    https://ymmv.me/59/unusual-masturbation

    https://ymmv.me/59/facesitting

    https://ymmv.me/59/wet-underwear

    https://ymmv.me/59/large-areolae

    Twitter: @ymmvpod

    Facebook: ymmvpod

    Email: ymmvpod@gmail.com

    Adversarial Audio Attacks

    Adversarial Audio Attacks
    In SMS#04 besprechen Tanja Hagemann und Dr. Sebastian Fischer von den T-Labs, wie eine künstliche Intelligenz (KI) menschliche Sprache und deren Vielfalt wirklich erkennen und verarbeiten kann. Und wie uns die Biologie dabei hilft, durch evolutionäre Algorithmen KI-Systeme hinsichtlich ihrer Robustheit zu überprüfen. Denn insbesondere neuronale Netze stellen für uns Menschen oftmals eine undurchsichtige Black Box dar, deren Schwachstellen nicht sofort erkennbar sind und nur durch ein systematisches Abfragen sichtbar gemacht werden können.

    CL235: The Future Of Marketing And General Adversarial Networks - Interview with William Ammerman

    CL235: The Future Of Marketing And General Adversarial Networks - Interview with William Ammerman

    In this episode we learn from William Ammerman, about the the Future Of Marketing And General Adversarial Networks.

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    William Ammerman is Executive Vice President of Digital Media at Engaged Media Inc. and has previously held leadership positions with Tribune Media, Hearst Television, and Capitol Broadcasting. Over his career, he has managed digital advertising for hundreds of television stations and their websites, mobile apps, and connected platforms. His latest book is called The Invisible Brand: Marketing in the Age Of Automation, Big Data, and Machine Learning. It delves into the future of marketing in the age of AI.

    In this episode, we cover:

    2:14 – Hyper personalisation
    4:15 – A machine that persuades us
    8:20 – Dumb hotel rooms
    9:26 – OCEAN personality traits
    11:15 – Machine learning
    11:59 – Google as the world’s largest focus group
    13:03 – Mass customisation
    14:07 – Voice user interface
    17:52 – Natural language generation
    20:58 – GAN – General Adversarial Network
    21:09 – Creating and Judging algorithms
    23:41 – Singapore model
    27:46 – China’s social credit system
    36:22 – Psychotechnology

    Resources mentioned in this episode:

    wammerman.com
    Book: The Foundation by Issac Assimov
    Tool: Reveal Mobile
    Album: Billy Elish

    If you enjoyed the show, please rate it on YouTube, iTunes or Stitcher and write a brief review. That would really help get the word out and raise the visibility of the Creative Life show.

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    The post CL235: The Future Of Marketing And General Adversarial Networks - Interview with William Ammerman appeared first at https://www.jamestaylor.me/william-ammerman/

    DTL025 - onzichtbaar worden voor automatische detectie cameras middels adversarial networks

    DTL025 - onzichtbaar worden voor automatische detectie cameras middels adversarial networks

    Onzichtbaar worden wie droomt daar niet van. Als kind wilde je dat waarschijnlijk al. Maar met de huidige automatische detectie cameras wil je het wellicht nog veel liever. Kort geleden is er een paper uitgekomen van de Belgische onderzoeksgroep EAVISE aan de KU Leuven waarin het detectie algoritme YoloV2 succesvol wordt aangevallen. Een bordje van 40x40cm maakt een persoon onzichtbaar voor dit algoritme, zelfs in realtime video streaming. Het kraken van dit algoritme biedt kansen, zo zou je met bepaalde kleding een ethische opt-out kunnen maken waarmee je waarmee je niet meer gevolgd kunt worden door publieke beveiligingscamera’s. De Dataloog spreekt met de auteurs van dit paper over de werking van het algoritme en de gevolgen die het kraken van dit algoritme heeft. We staan nog maar aan het begin deze ontwikkeling, maar we gaan vast nog veel horen in de toekomst van adversarial networks.

    De Dataloog is de onafhankelijke Nederlandstalige podcast over data & kunstmatige intelligentie.

    Hier hoor je alles wat je moet weten over de zin en onzin van data, de nieuwste ontwikkelingen en echte verhalen uit de praktijk. Onze hosts houden het altijd begrijpelijk, maar schuwen de diepgang niet.

    Vind je De Dataloog leuk? Abonneer je op de podcast en laat een review achter.


    More Crypto, More Problems - Application Security Weekly #09

    More Crypto, More Problems - Application Security Weekly #09

    This week, Keith and Paul discuss Uber's open source tool for adversarial simulation, AMD processors, Hijacked MailChimp accounts  used to distribute banking malware, and more on this episode of Application Security Weekly!

     

    Full Show Notes: https://wiki.securityweekly.com/ASW_Episode09

     

    Visit https://www.securityweekly.com/asw for all the latest episodes!

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