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#keystrokes — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #keystrokes, aggregated by home.social.

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  1. Use command plus option plus L to move focus to your downloads folder and finder. Or in your web browser to check the status of a download because it will open the downloads window. #BitsTips #Mac #Keystrokes

  2. Wow, I had to turn 35 to learn that after searching with Ctrl+F, there's not only F3 to iterate through results, but also Strg+G! My life is SO much better since!

    #keystrokes #shortcuts #textsearch #lifehack #til

  3. I got an #upgrade today to #KDE 6.2. I’m always a bit wary of upgrading the desktop in the middle of the working day because the behaviour may be unpredictable because of it. However, at first glance this is looking good. A detail that I like is that you can now map the #buttons on the #pen for my #WacomTablet to #MouseButtons as well as #KeyStrokes.

    #FreeSoftware #GNU #Linux #Fedora #KDE6-2

  4. Popular #Keyboard Apps Leak User Data: Billion Potentially Exposed
    Popular keyboard apps leak user data! #CitizenLab reports 8 out of 9 #Android #IME expose keystrokes. Researchers analyzed keyboard apps from nine major vendors: #Baidu, #Honor, #Huawei, #iFlytek, #OPPO, #Samsung, #Tencent, #Vivo, and #Xiaomi. Alarmingly, they found vulnerabilities in eight of these apps that could allow attackers to steal users’ #keystrokes as they type. Change yours & protect passwords! hackread.com/keyboard-apps-lea

  5. AI researchers claim 93% accuracy in detecting keystrokes over Zoom audio - Enlarge / Some people hate to hear other people's keyboards on video ca... - arstechnica.com/?p=1959255 #sidechannelattacks #sidechannelattack #machinelearning #webconferencing #keylogging #keystrokes #attention #keyboards #macbooks #security #macbook #biz#tech #zoom #ai

  6. New acoustic attack steals data from #keystrokes with 95% accuracy
    A team of researchers from British universities has trained a #deeplearning model that can steal data from #keyboard keystrokes recorded using a microphone with an accuracy of 95%.
    When #Zoom was used for training the sound classification algorithm, the prediction accuracy dropped to 93%, which is still dangerously high, and a record for that medium.
    bleepingcomputer.com/news/secu