Results 111 to 120 of about 5,380,268 (331)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Algebraic adversarial attacks on explainability models
Machine Learning. EngineeringClassical adversarial attacks are phrased as a constrained optimisation problem. Despite the efficacy of a constrained optimisation approach to adversarial attacks, one cannot trace how an adversarial point was generated.
Lachlan Simpson +5 more
doaj +1 more source
Detecting Audio Adversarial Examples with Logit Noising
, 2021 Automatic speech recognition (ASR) systems are vulnerable to audio adversarial examples that attempt to deceive ASR systems by adding perturbations to benign speech signals.
Ji, Sangwoo, Kim, Jong, Park, Namgyu
core
Not all adversarial examples require a complex defense : identifying over-optimized adversarial examples with IQR-based logit thresholding [PDF]
, 2019 Detecting adversarial examples currently stands as one of the biggest challenges in the field of deep learning. Adversarial attacks, which produce adversarial examples, increase the prediction likelihood of a target class for a particular data point ...
De Neve, Wesley +5 more
core +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
About the inevitability of adversarial examples
, 2019 Adversarial examples are a burring issue for deep learning.Yet, the basic definition of adversarial example is not that trivial.Indeed, if one consider adversarial examples as points close to decision boundary, then, one can prove that adversarial ...
Chan-Hon-Tong, Adrien
core +1 more source
Attack Selectivity of Adversarial Examples in Remote Sensing Image Scene Classification
IEEE Access, 2020 Remote sensing image (RSI) scene classification is the foundation and important technology of ground object detection, land use management and geographic analysis.
Li Chen +7 more
doaj +1 more source
Exploring Adversarial Examples
, 2018 Failure cases of black-box deep learning, e.g. adversarial examples, might have severe consequences in healthcare. Yet such failures are mostly studied in the context of real-world images with calibrated attacks.
Anirban Mukhopadhyay +7 more
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Intriguing Properties of Adversarial Examples
CoRR, 2017 17 ...
Ekin Dogus Cubuk +3 more
openaire +3 more sources