Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation
#adversarial #supervised #generalization
Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges
#adversarial #quantization #dnns
'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.
http://jmlr.org/papers/v24/21-1250.html
#adversarial #classifiers #learnability
#adversarial #classifiers #learnability
'Dropout Training is Distributionally Robust Optimal', by José Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang.
http://jmlr.org/papers/v24/21-0377.html
#dropout #adversarial #minimax
#dropout #adversarial #minimax
PSA: #blockchain is a #financial #adversarial network where the first adversary is your own #greed
#blockchain #financial #adversarial #greed #humans #stayhumble #stacksats
Differentially Private Optimizers Can Learn Adversarially Robust Models
#adversarially #adversarial #privacy
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam, Raz Lapid, Moshe Sipper
Action editor: Jakub Tomczak.
#adversarial #ImageNet #inception
Variational Classification
#softmax #adversarial #autoencoders
Miscreant
Tinkering, manipulating
To trick AI's mind
Adversarial attack
Misbehavior
#ai #adversarial #attack #miscreant #cinquain #poetry
@juuhaa Ja kuinka hyvin se onnistui? Ei kovin hyvin, uusinkin ChatGPT on edelleen 88% haavoittuvainen näille tekniikoille, jotka saavat sen ohittamaan kaiken tämän vaivan.
#llm #universal #adversarial #prompt #generation
Catastrophic overfitting can be induced with discriminative non-robust features
Guillermo Ortiz-Jimenez, Pau de Jorge, Amartya Sanyal et al.
Action editor: Jakub Tomczak.
#overfitting #adversarial #robust
Finding and Only Finding Differential Nash Equilibria by Both Pretending to be a Follower
Xuchan Bao, Guodong Zhang
Action editor: Michael Bowling.
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
Action editor: Qibin Zhao.
#adversarial #classifiers #robustness
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
The Score-Difference Flow for Implicit Generative Modeling
Romann M. Weber
Action editor: Tom Rainforth.
#generative #adversarial #flow
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Action editor: marco cuturi.
#generative #adversarial #regularization
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh
Action editor: Lihong Li.
On the Robustness of Dataset Inference
Sebastian Szyller, Rui Zhang, Jian Liu, N Asokan
Action editor: Yiming Ying.
#adversarially #adversarial #adversary
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
Action editor: Alessandro Sordoni.
#adversarial #transfool #translation
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...
James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese
Action editor: Andriy Mnih.
#eigenlearning #learnability #adversarial