"Attacks"的相关文档

标签“Attacks”的相关文档，共25条

Robust Testing and Estimation under Manipulation Attacks
RobustTestingandEstimationunderManipulationAttacksJayadevAcharya1ZitengSun1HuanyuZhang1Abstractchallengesaboveexistsimultaneously.Motivatedbytheirwork,wefurtherstudymanipulationAttacksforinferenceW...
and Robust Estimation under Testing
2023-11-16 19:41:381061353.73 KB12
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Robust Learning for Data Poisoning Attacks
RobustLearningforDataPoisoningAttacksYunjuanWang1PooryaMianjy1RamanArora1Abstractinsettingswhereanadversarycanaffectanypartofthetrainingdata.Therefore,inthispaper,weareinterestedinWeinvestigatether...
Learning for Data Robust Attacks
2023-11-16 19:41:378062.78 MB16
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Query Complexity of Adversarial Attacks
QueryComplexityofAdversarialAttacksGrzegorzGłuch1Ru¨digerUrbanke1Abstract2018;Hayes&Danezis,2017)canonlyobservetheinput-outputbehaviorofthemodel.ManydefenseshavebeenTherearetwomainattackmodelscon...
of Adversarial Complexity Attacks Query
2023-11-16 19:28:371174367.37 KB30
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Neural Tangent Generalization Attacks
NeuralTangentGeneralizationAttacksChia-HungYuan1Shan-HungWu1Abstractdata.TheymaynotwanttheirdatabeingusedtotrainamasssurveillancemodelormusicgeneratorthatviolatesTheremarkableperformanceachievedbyD...
Neural generalization Attacks Tangent
2023-11-16 19:15:366364.48 MB17
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Model-Targeted Poisoning Attacks with Provable Convergence
Model-TargetedPoisoningAttackswithProvableConvergenceFnuSuya1SaeedMahloujifar2AnshumanSuri1DavidEvans1YuanTian1AbstractMostworkonpoisoningAttackshasconsideredoneoftwoextremalattackerobjectives:indi...
with Convergence Provable Attacks Poisoning
2023-11-16 19:15:27924398.08 KB2
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Label-Only Membership Inference Attacks
Label-OnlyMembershipInferenceAttacksChristopherA.Choquette-Choo1FlorianTrame`r2NicholasCarlini3NicolasPapernot1Abstractcauseharm—itleaksinformationaboutspeciﬁcindividualsinsteadoftheentirepopulat...
Inference Membership Attacks Label-Only
2023-11-16 18:46:4211045.46 MB4
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Label Inference Attacks from Log-loss Scores
LabelInferenceAttacksfromLog-lossScoresAbhinavAggarwal1ShivaPrasadKasiviswanathan1ZekunXu1OluwaseyiFeyisetan1NathanaelTeissier1AbstractthatPNi=1ui,k=1.Let2[K]Nbealabeling.Then,theK-arylog-loss(or,c...
from Inference Attacks Label Scores
2023-11-16 18:46:4114011.27 MB10
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Defense against backdoor Attacks via robust covariance estimation
SPECTRE:DefendingAgainstBackdoorAttacksUsingRobustStatisticsJonathanHayase1WeihaoKong1RaghavSomani1SewoongOh1AbstractaccuracyonpoisonedtestexamplesStartingwiththeseminalworkof(Guetal.,2017),thereha...
via Robust Covariance Attacks against
2023-11-16 18:31:0211261.77 MB13
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Stronger and Faster Wasserstein Adversarial Attacks
StrongerandFasterWassersteinAdversarialAttacksKaiwenWu12AllenHouzeWang12YaoliangYu12Abstract✏=0.05✏=0.10✏=0.20✏=0.40Deepmodels,whilebeingextremelyﬂexibleand`1accurate,aresurprisinglyvulnerable...
Adversarial and Faster Wasserstein Attacks
2023-11-14 21:46:359911.35 MB20
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Second-Order Provable Defenses against Adversarial Attacks
Second-OrderProvableDefensesagainstAdversarialAttacksSahilSingla1SoheilFeizi1Abstract1.IntroductionArobustnesscertiﬁcateagainstadversarialexam-Modernneuralnetworksachievehighaccuracyontasksplesist...
Adversarial Second-Order Provable Attacks Defenses
2023-11-14 21:46:201189452.98 KB24
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Confidence-Calibrated Adversarial Training Generalizing to Unseen Attacks
Conﬁdence-CalibratedAdversarialTraining:GeneralizingtoUnseenAttacksDavidStutz1MatthiasHein2BerntSchiele1AbstractAdversarialTraining(AT):Ours(CCAT):Adversarialtrainingyieldsrobustmodelsagainsttrain...
Adversarial to unseen Training Attacks
2023-11-14 21:43:331267988.77 KB12
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Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
CertiﬁedRobustnesstoLabel-FlippingAttacksviaRandomizedSmoothingElanRosenfeld1EzraWinston1PradeepRavikumar1J.ZicoKolter12Abstractuser-generateddatasets—e.g.emailspamﬁlters,productrecommendationen...
via to Robustness Randomized Attacks
2023-11-14 21:43:25651717.62 KB30
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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
AttacksWhichDoNotKillTrainingMakeAdversarialLearningStrongerJingfengZhang1†XilieXu2BoHan34GangNiu4LizhenCui5MasashiSugiyama46MohanKankanhalli1Abstractsitatestheneedfordeepneuralnetworks(DNNs)tobea...
Training Attacks Do Make Not
2023-11-14 21:43:091213566.51 KB3
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Alleviating Privacy Attacks via Causal Learning
AlleviatingPrivacyAttacksviaCausalLearningShrutiTople1AmitSharma1AdityaV.Nori1Abstractsuchattackcalledmembershipinferencerevealswhetheradatasamplewaspresentinthetrainingdataset(ShokriMachinelearnin...
Learning via Causal Privacy Attacks
2023-11-14 21:43:0317431.33 MB13
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Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
AdversarialAttacksonProbabilisticAutoregressiveForecastingModelsRaphae¨lDang-Nhu1GagandeepSingh1PavolBielik1MartinVechev1Abstractsinglebestvaluehasseveraladvantages–itnaturallyﬁtstheinherentlyst...
Adversarial Models on Probabilistic Autoregressive
2023-11-14 21:43:00942687.73 KB4
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Adversarial Attacks on Copyright Detection Systems
AdversarialAttacksonCopyrightDetectionSystemsParsaSaadatpanah1AliShafahi1TomGoldstein1Abstractdetectionextractfeatures,calledﬁngerprints,fromsam-pledvideooraudio,andthenmatchthesefeatureswithaItis...
Adversarial on Detection Systems Attacks
2023-11-14 21:42:591179657.83 KB26
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Adaptive Reward-Poisoning Attacks against Reinforcement Learning
AdaptiveReward-PoisoningAttacksagainstReinforcementLearningXuezhouZhang1YuzheMa1AdishSingla2XiaojinZhu1AbstractgroupofTwitteruserswhodeliberatelytaughtitmisogynis-ticandracistremarksshortlyafterits...
Adaptive Learning Reinforcement Attacks against
2023-11-14 21:42:59774703.1 KB7
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Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
TransferableClean-LabelPoisoningAttacksonDeepNeuralNetsChenZhu1W.RonnyHuang1AliShafahi1HengduoLi1GavinTaylor2ChristophStuder3TomGoldstein1Abstract2017).IncontrasttoevasionAttacks(Biggioetal.,2013;S...
Neural on Deep Attacks Transferable
2023-11-13 14:48:5218515.6 MB27
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Simple Black-box Adversarial Attacks
SimpleBlack-boxAdversarialAttacksChuanGuo1JacobR.Gardner2YurongYou1AndrewGordonWilson1KilianQ.Weinberger1Abstractwhereasblack-boxAttacksrequireonlyqueriestothetargetmodelthatmayreturncompleteorpart...
Adversarial simple Black-box Attacks
2023-11-13 14:48:3416994.69 MB15
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Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
ParsimoniousBlack-BoxAdversarialAttacksviaEfﬁcientCombinatorialOptimizationSeungyongMoon12GaonAn12HyunOhSong12AbstractHowever,inmorerealisticsettings(Watsonvisualrecogni-tion,2019;GooglevisionAPI,...
Efficient Adversarial via Combinatorial Black-box
2023-11-13 14:48:1310831.91 MB26
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