AI Safety
3,602 papers
Papers per year
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1
1
4
1
5
1
13
49
99
135
195
225
358
812
1,297
405
'15
'20
'25
Papers
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability
L4DC 2020
DBA: Distributed Backdoor Attacks against Federated Learning
ICLR 2020
Deception through Half-Truths
AAAI 2020
Defending Against Model Stealing Attacks With Adaptive Misinformation
CVPR 2020
Defense Through Diverse Directions
ICML 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
NeurIPS 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
IJCAI 2020
Detection as Regression: Certified Object Detection with Median Smoothing
NeurIPS 2020
Diagnosing Software Faults Using Multiverse Analysis
IJCAI 2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
COLING 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NeurIPS 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
ICML 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
ICML 2020
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
AAAI 2020
Enhancing Adversarial Defense by k-Winners-Take-All
ICLR 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates
AAAI 2020
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria
AAAI 2020
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
ICLR 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
ICML 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
CVPR 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
AAAI 2020
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
ACL 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
NeurIPS 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
NeurIPS 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
CoRL 2020