Top Tweets for #adversarialexample
This is a great thread regarding the position of AE in the current and future AI-based industry.
#MachineLearning
#AdversarialExample
#OOD
Adversarial examples, originally observed ~2014, were fascinating cases showing deep nets can be super sensitive to small input perturbations. Since then a lot has happened! Did we solve this failure mode of AI models or have we hit a wall? A thread 🧵
テキスト分類器を騙す攻撃（敵対的サンプル）の防御手法。本手法は敵対的サンプルを正常テキストに「修正」することで攻撃を防ぐ。「TextBugger」で生成した敵対的テキストの約80％を正しく修復できたとのこと（平均修正時間は１秒/１敵対的テキスト）。
#adversarialexample
https://t.co/q61hzBI5z1
Our latest work examines the security implications of so-called privacy preserving #synthetic data. We show how to balance the inherent trade-offs for voice signals using a new tandem framework,🧵
#voicecloning #spoofingattack
#adversarialexample
OpenAttack - An Open-Source Package For Textual Adversarial Attack https://t.co/YCYGF6S5LY #Adversarial #AdversarialAttacks #AdversarialExample #Cloning
RT A Practical Guide To Adversarial Robustness https://t.co/ucpbFENxBG #security #adversarialexample #machinelearning #adversarialattack
Adversarial Examples 分野の動向 （敵対的サンプル発表資料） by @HirokatuKataoka #adversarialexample #aes https://t.co/hImqCNoMUT @SlideShareさんから
Adversarial Examples 分野の動向 （敵対的サンプル発表資料） by @HirokatuKataoka #adversarialexample #aes https://t.co/AoPNraqgOS @SlideShareさんから
Style transferがVGGでしか機能しないことを知りませんでした😅
ATとattention機構を組み合わせて何かやってみよう😉
Adversarial Examples 分野の動向 （敵対的サンプル発表資料） by @HirokatuKataoka #adversarialexample #aes https://t.co/5fTQA0mehM @SlideShareより
資料が圧倒的に良すぎる / Adversarial Examples 分野の動向 （敵対的サンプル発表資料） by @HirokatuKataoka #adversarialexample #aes https://t.co/ejg0SIJM3l @SlideShareさんから
Excited to announce our new paper on DiffAI V3: A Provable Defense for Deep Residual Networks. Get the code here https://t.co/2pwVroLt3j #diffai #provabledefense #certifieddefense #resnet #densenet #adversarialexample
@ETH_en @mmirman @CSatETH
@McDapper @johnpmayer I know I might seem boring, but it's worse than that.
As of today, there's no way to prevent a properly designed #AdversarialExample to fool a #DeepLearning #AI driving a car. So we could theoretically have #SelfDrivingCars turned to weapons by apparently harmless objects.
My @TensorFlow model is ~94% confident the image is malignant (it is!), but w/a little alteration, it's now ~92% certain that the image is benign.
#AdversarialExample #DeepLearning #Melanoma #AI
Adversarial Patch. https://t.co/pzmftDG7ze
Se anche l’#IntelligenzaArtificiale si potesse ingannare? 🤔
Un team del @MIT è riuscito a confondere il sistema di riconoscimento immagini di @Google alterando un pixel alla volta‼️🤖
#AdversarialExample
https://t.co/ulOOe6GIx3
#adversarialexample is a technique to trick #AI into hearing and seeing things that aren’t really there https://t.co/cuMxCOTYgp
#security
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