Co-occurring keywords · papers mentioning both
Papers
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
NeurIPS 2023
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
COLT 2023
Out-of-distribution Detection with Implicit Outlier Transformation
ICLR 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
ICML 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models
ICML 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
NeurIPS 2023
PAC-learning for Strategic Classification
JMLR 2023
PaintSeg: Painting Pixels for Training-free Segmentation
NeurIPS 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
CVPR 2023
Physical-World Optical Adversarial Attacks on 3D Face Recognition
CVPR 2023
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
AAAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
AAAI 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
ICCV 2023
Policy Contrastive Imitation Learning
ICML 2023
Privacy-Preserving Adversarial Facial Features
CVPR 2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
EMNLP 2023
Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}
EACL 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
UAI 2023
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
ICCV 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
NeurIPS 2023
Reconstructive Neuron Pruning for Backdoor Defense
ICML 2023
Reliable learning in challenging environments
NeurIPS 2023
Responsible AI (RAI) Games and Ensembles
NeurIPS 2023
Rethinking Backdoor Attacks
ICML 2023
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
ICML 2023