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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "How Adversarial Attacks C" (30 stories)

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A compositional framework for automated discovery of adversarial attacks
Lead StoryNaturegeneral
Jun 22

A compositional framework for automated discovery of adversarial attacks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wcXgwd0ZnSU1fbDh1VHppd3RkVHYyNGdBYjFGUlEzdmVyV01VdTFvd1JhZzFIOEJrWkFzajBMeldhd3ZlZjJjOHVncTR6WVhpWUJCc0lVZUdEd1F3SDhF?oc=5" target="_blank">A compositional framework for automated discovery of adversarial attacks</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "How Adversarial Attacks C"

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29 stories displayed
Vulnerability-Aware Robust Multimodal Adversarial Training
The Association for the Advancement of Artificial Intelligencetech

Vulnerability-Aware Robust Multimodal Adversarial Training

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBGam8xUjBfRk9PZlhIMFIxcU9vNUwzSFcxYVhwYzFsdVI5ZmVyZWducUp2S1VYaGZhdGZTVVRtT2xzd0VfVDY4RVVEVFc2N2hhZmxJZ0xYTkoxS190MDJZWHJwNjc?oc=5" target="_blank">Vulnerability-Aware Robust Multimodal Adversarial Training</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Query-efficient decision-based adversarial attack with low query budget
Naturegeneral

Query-efficient decision-based adversarial attack with low query budget

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vek9RT044QkVKejZJSjBvZkJkSGFKMlhVTW82V05FQjFHTENsZGkxQkRlV2FFWnVNd1EwSkY5VHdBSXB6V2xrM1VkV1kzTFNQVEc0OGw2dXg0OU11ci1R?oc=5" target="_blank">Query-efficient decision-based adversarial attack with low query budget</a>  <font color="#6f6f6f">Nature</font>

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Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference
The Association for the Advancement of Artificial Intelligenceworld

Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9fSkdMam5TMGw0eEJYcDBaeWZOZ0p0TTRTdXRucjgzcnZzRkZ5U3QzdU5IZm8yZTRzLUFWekFOM1lRZzdOdzhHQ3dYdTNNS29fU1VFdjV5OVRQSU5nZ082LWQxdEQ?oc=5" target="_blank">Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems
Naturegeneral

Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfTS1LU0NFR1JwRzEyc2dmbFk5b1JaZnBIbThvdmRualY0d3k0dTR6MEZqaDBFWjVJZzVHaldIU0h1U2pLVjN0bGRqZllpRkFBQzRMUXFHY01rWWlOYXBN?oc=5" target="_blank">Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems</a>  <font color="#6f6f6f">Nature</font>

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TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
The Association for the Advancement of Artificial Intelligencegeneral

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE0tNENfbXN3dkpkT1NOcmpad2hmV1hmeDh3N2lMaFdieW5RaGJTUlUwYlFNeDU3d3FfVnBRek1sYS1WV0FyRmFKbEpyU2VXbFJGUU5PTnpLcFVJa0wxVldJVXl1VGM?oc=5" target="_blank">TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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An incremental adversarial training method enables timeliness and rapid new knowledge acquisition
Naturetech

An incremental adversarial training method enables timeliness and rapid new knowledge acquisition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5vX25meTVQRUxLd2pjWWV5V1FKOW5KbXMtc3pfQkZBaHVlNHp1OGVQRllZS05KREdiOWtlTGZTRjlNdy1xdnBSMjl2dG4wbENZNkhPYV9uT3A4eWo5TFRF?oc=5" target="_blank">An incremental adversarial training method enables timeliness and rapid new knowledge acquisition</a>  <font color="#6f6f6f">Nature</font>

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ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)
The Association for the Advancement of Artificial Intelligencegeneral

ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5LUV9NdlBDVGtJOVVWY3Vqc0lOYTJtVHNmUGI1c0lCRlV5TVVIbWlBMThGeERtNENaLU5xVEd5Mno0NDkwR1F5WHhhYTB1MUJxZl9fdkFZWjdVcDBQV2FEMFlZVG4?oc=5" target="_blank">ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm
Naturetech

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Bbnl1ek5JbnZyNk91N2pKWWx6QlpKWklHTmZDYnU4eThVcU1kZE82a1U5MzdIT2JSZnlrZjJnamtreW5QOWdzMEh3V1UzLU9LWWxTMU94RW12RVR1R2RV?oc=5" target="_blank">Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm</a>  <font color="#6f6f6f">Nature</font>

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HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
The Association for the Advancement of Artificial Intelligencetech

HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1vZ1BZNHZRQ09wY3FQR3JDU0E3LXBmclZmVEFqRFViSVZ5S21hSzY2Mzg3Znc1My1qbm5VV0FQT25uTzk0V3FJM3JOVlBhTnJWOGR3RTBORlNfTHBJdTZCUzdZZG8?oc=5" target="_blank">HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Universal attention guided adversarial defense using feature pyramid and non-local mechanisms
Natureworld

Universal attention guided adversarial defense using feature pyramid and non-local mechanisms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBWSjBSRjlsM3hvS2xWMmdDMkt0bXJPRlJLaEcxV1BNdE9EZC0xNG84bmRvZ2ctZmhGS09NMnFSenFkTzFSd0xZTzMyYnBjS210aVFzMWIyX01LSnRMQllz?oc=5" target="_blank">Universal attention guided adversarial defense using feature pyramid and non-local mechanisms</a>  <font color="#6f6f6f">Nature</font>

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A comprehensive survey of deep face verification systems adversarial attacks and defense strategies
Naturegeneral

A comprehensive survey of deep face verification systems adversarial attacks and defense strategies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1DVDhhX1BzblJOX0JFUDRTSDBrdE53Z3l0dzhvdVhrcGVSS1Fpb05pbWNsV3ZjOVVnUTRha1JqUlhBcWVuYVVUcTBQMXp0bGpsYWpjYlp4dFg0NVZfTTRJ?oc=5" target="_blank">A comprehensive survey of deep face verification systems adversarial attacks and defense strategies</a>  <font color="#6f6f6f">Nature</font>

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Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks
Naturetech

Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xWDhVbEZDendqMzNad1lFQW92Rnk4ZmFLNTMzdW9pQ2dWLXJ6N2MxeE1uWGNMRFh2STZSSl9iQUtZMTI4bFl6ZHdaN3dWdm5mNFV4ai1kYkRqbWZ3dEVJ?oc=5" target="_blank">Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks</a>  <font color="#6f6f6f">Nature</font>

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Hard label adversarial attack with high query efficiency against NLP models
Naturetech

Hard label adversarial attack with high query efficiency against NLP models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92Zm9IU3hYM2lUbGdBejNOZjlzT0ZzS0w3ZGpKbGEtb0pJcHNkVzhZMFNMamxrUEZWTEZfa2hkQmpXRC1xc2ZHMHJSNy0xdURTNFZsRElMbTl1QnVJeXY0?oc=5" target="_blank">Hard label adversarial attack with high query efficiency against NLP models</a>  <font color="#6f6f6f">Nature</font>

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Efficient black-box attack with surrogate models and multiple universal adversarial perturbations
Natureworld

Efficient black-box attack with surrogate models and multiple universal adversarial perturbations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1iUVdQQVljZEhhSXBEWkNuTDBDUDVGb2c0am5NbUxlZVhtRWlfT3VsYTExMjZBVENMQVRka1BjOFR2cW1TRFNKcXZWMjZpRGx2X3BXODhCWjY4Z0JjeXRZ?oc=5" target="_blank">Efficient black-box attack with surrogate models and multiple universal adversarial perturbations</a>  <font color="#6f6f6f">Nature</font>

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An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems
Naturegeneral

An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9fc3lEcmQwQkstSWJjTjdPOG5nWE53cHZXMlhtOFp2amRkd3U1c3I5Nk5pc2U0MmZlMUpBaFhFN1RYQnV3bm1lbHRwWUw0bG4yeFVvUjFoM3VHNlMzLUs4?oc=5" target="_blank">An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems</a>  <font color="#6f6f6f">Nature</font>

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Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports
Naturetech

Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jY1FseHdISmx3UFN1MlRiYUlaU0xhRTlORk5XN3NmMWRCdEEwZG95R3hUOEJucm1yT3AtZk1Bek9HZEw0bnZNVVBZa1MxRDJBUFpSNFh1VlFaOFgzN1dz?oc=5" target="_blank">Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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The inherent adversarial robustness of analog in-memory computing
Naturegeneral

The inherent adversarial robustness of analog in-memory computing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15US04ZGlfb2t1aTN6SHNLOGFja3JNd0FZQURlQ3JMUHJvVmhoR3A1V2hTS1RuMkVBd09DN1ByMTEwSkZIMVFORWZIM3pwMks5UkRxemRLYUlEUTZHR1Yw?oc=5" target="_blank">The inherent adversarial robustness of analog in-memory computing</a>  <font color="#6f6f6f">Nature</font>

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A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing
Naturetech

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5wZ0ZLdllyano5dnp4dG90d04xUWE2UmNGaU8wRU9KWU5JTXVIWnc0OE1uRjZRN3hWcENqbGtKQlN3T1hpaUZHZno2WTQ4WHJfVlRSbmxQbjVEa0dfWG5z?oc=5" target="_blank">A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing</a>  <font color="#6f6f6f">Nature</font>

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Boosting targeted adversarial transferability via fine-grained feature mixup perturbation and reference-based gradient refinement
Naturetech

Boosting targeted adversarial transferability via fine-grained feature mixup perturbation and reference-based gradient refinement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xZGdPV09weXRVUElNdFhZVG50ZU14SWlXVE5zcEh6dmtXNm5Nc3cwekdPUUZRMHJ4Vk1ON3hFdkhGMXBrTjZQdGNLUXN4NExqNU5ndnRkSTI0cG9wU2p3?oc=5" target="_blank">Boosting targeted adversarial transferability via fine-grained feature mixup perturbation and reference-based gradient refinement</a>  <font color="#6f6f6f">Nature</font>

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Adversarial attacks and adversarial robustness in computational pathology
Naturegeneral

Adversarial attacks and adversarial robustness in computational pathology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1McElzRU9JSEVTVUNJaUw3YllpTm01MjVQeV94Z3hjT0EyZTdZcVFIZ1lHRnJiUUxaM0JxQVVIazY3LVVUWHRtT0hGRVdVNHNZbU9mMUdzYTdSNHBsTVJz?oc=5" target="_blank">Adversarial attacks and adversarial robustness in computational pathology</a>  <font color="#6f6f6f">Nature</font>

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A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security
Naturepolitics

A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9KR2U0WkozRVlYaXpFVFJkU2hjSGpIMml3SndBVUhnWEJuWEZWMGdHWVNid2JkNERRd1FFODVGRzJvZzNobS1kT2Fpb0JtOFVxV0ZpMDdCLUlFOEM2aC1J?oc=5" target="_blank">A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security</a>  <font color="#6f6f6f">Nature</font>

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PID-Based Approach to Adversarial Attacks
The Association for the Advancement of Artificial Intelligencegeneral

PID-Based Approach to Adversarial Attacks

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5LNEk1VFpzMlV1UWQ2QzhuOUlhSTZfVzI1bVNXZW1JdFJ4V1lYX2h6ckNiWEhCMFEwV0dqcTBBUWZKVkxtMnlMWVhBWGszUzB3SFpyTWt6QXdSTjhvcllwcGlPSEY?oc=5" target="_blank">PID-Based Approach to Adversarial Attacks</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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GEAAD: generating evasive adversarial attacks against android malware defense
Naturetech

GEAAD: generating evasive adversarial attacks against android malware defense

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE93b2k2MTZWazFYcmN4YnpRVW1vNVBtdkh5alEwRGVUcXZjcjQ2WWNYT081bXdlQzVCUEFLVlVKZUVEMFhTWWZBT2pQM090S01Bb3BRc21SVEtXTGpVZ3VV?oc=5" target="_blank">GEAAD: generating evasive adversarial attacks against android malware defense</a>  <font color="#6f6f6f">Nature</font>

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Enhancing Robustness in Incremental Learning with Adversarial Training
The Association for the Advancement of Artificial Intelligencetech

Enhancing Robustness in Incremental Learning with Adversarial Training

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE42NVIwbWRjMjFhc1YyV0pjY0ZhaFdYbUpsM0JZeG8yX1h6NDdyMkNON0RoalpMSXdtb012QWNycnY0TTJ2ZEptZEtSU1V5Q2F3UHM5OUJ6Z0djX2hJUzB2UW5meU4?oc=5" target="_blank">Enhancing Robustness in Incremental Learning with Adversarial Training</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Defending against and generating adversarial examples together with generative adversarial networks
Naturetech

Defending against and generating adversarial examples together with generative adversarial networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVNWl1ZGMxdVJDb2FVcFVoc1psbjNsRkRsN3duN1FVTnB6YXlwdDlnWGlBNmdLT2FUWUZ6ODJMRUZOdXE2bzNUenR0M2V3dnRrTGpMVUNVTnl6RXRCMFc0?oc=5" target="_blank">Defending against and generating adversarial examples together with generative adversarial networks</a>  <font color="#6f6f6f">Nature</font>

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Dual-targeted adversarial noise for 3D point cloud classification model
Naturegeneral

Dual-targeted adversarial noise for 3D point cloud classification model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zQ1J0YjQyOTlmelpfZkJ0cUhqVVlIM3NVcjktYWtZaE92eGpzWG5kWUswYXNVVjZCaU9kaDNSVEZHcy10RERoamcteUVycHBBUHlQYWpmdTduWGVSWWJB?oc=5" target="_blank">Dual-targeted adversarial noise for 3D point cloud classification model</a>  <font color="#6f6f6f">Nature</font>

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Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model
Frontiersgeneral

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNd2J4T2NiQ1QySnEwSDMxYjRHaFpFVlREdW1VXzJBNTdoYkMzTldKR3pUdGtoZi1vR0JmVWxrS1Rmb0tOR3prNU56NnFjaVdCNVQ4VFZ1UkxNN0RoRFJNZk1EU0w1MTMxNVBSYzlUUXZFRDBja241VngydUFVbFVxeUNfZm5oVFp0cnJYVjEtdTJBeHBwdUE?oc=5" target="_blank">Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model</a>  <font color="#6f6f6f">Frontiers</font>

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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks
Naturegeneral

Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE85OXNJLUlOenJoYV9TNHZsSmZBNDJNQ09ZdFhDbDVRRS1VVWI0bENKSGQ5dVdLaHBNVEhYRW5WVkhZaWtLRGJxWnh1S2VEcDBPNlEzenFod3dreGZucTVB?oc=5" target="_blank">Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks</a>  <font color="#6f6f6f">Nature</font>

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Secure yet fragile: adversarial vulnerabilities of federated vision–language models in medical AI | Scientific Reports
Naturetech

Secure yet fragile: adversarial vulnerabilities of federated vision–language models in medical AI | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE90SmRLTW9SbkZsem82MjdkTk52bDF6aWtOOThQeEtqQmZVM2p1Vlg5VzBuNmtoWUlYQ1k4M0NGT0lGaFhIVEdRN2JWZWxmSVBTSHRCMlFVVHYtQTRFdm9r?oc=5" target="_blank">Secure yet fragile: adversarial vulnerabilities of federated vision–language models in medical AI | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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"How Adversarial Attacks C" — Live Google News Trends & Headlines