SCOPUS 정보 검색 플랫폼

Volumn 9, Issue , 2010, Pages 549-556

Near-optimal evasion of convex-inducing classifiers

Author keywords

[No Author keywords available]

Indexed keywords

DECISION BOUNDARY;

ARTIFICIAL INTELLIGENCE; REVERSE ENGINEERING;

QUERY PROCESSING;

EID: 84862282845 PISSN: 15324435 EISSN: 15337928 Source Type: Journal
DOI: None Document Type: Conference Paper

Times cited : (24)

References (13)

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- Solving convex programs by random walks
- Dimitris Bertsimas and Santosh Vempala. Solving convex programs by random walks. J. ACM, 51(4):540-556, 2004.
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- Bertsimas, D.¹ Vempala, S.²

2
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- Springer
- Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
- (2006) Pattern Recognition and Machine Learning
- Bishop, C.M.¹

3
- 0004055894
- Cambridge University Press
- Stephen Boyd and Lieven Vandenberghe. Convex Optimization. Cambridge University Press, 2004.
- (2004) Convex Optimization
- Boyd, S.¹ Vandenberghe, L.²

4
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- Adversarial classification
- Nilesh Dalvi, Pedro Domingos, Mausam, Sumit Sanghai, and Deepak Verma. Adversarial classification. In Proc. KDD'04, pages 99-108, 2004.
- (2004) Proc. KDD'04 , pp. 99-108
- Dalvi, N.¹ Domingos, P.² Mausam, S.S.³ Verma, D.⁴

5
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- Diagnosing network-wide traffic anomalies
- Anukool Lakhina, Mark Crovella, and Christophe Diot. Diagnosing network-wide traffic anomalies. In Proc. SIGCOMM' 04, pages 219-230, 2004.
- (2004) Proc. SIGCOMM' 04 , pp. 219-230
- Lakhina, A.¹ Crovella, M.² Diot, C.³

6
- 4544311794
- Hit-and-run from acorner
- László Lovász and Santosh Vempala. Hit-and-run from acorner. In Proc. STOC'04, pages 310-314, 2004.
- (2004) Proc. STOC'04 , pp. 310-314
- Lovász, L.¹ Vempala, S.²

7
- 17444441724
- 4) volume algorithm
- 4) volume algorithm. In Proc. FOCS'03, 2003.
- (2003) Proc. FOCS'03
- Lovász, L.¹ Vempala, S.²

8
- 32344435632
- Daniel Lowd and Christopher Meek. Adversarial learning. In Proc. KDD'05, pages 641-647, 2005.
- (2005) Adversarial Learning. in Proc. KDD'05 , pp. 641-647
- Lowd, D.¹ Meek, C.²

9
- 84898063255
- Learning convex bodies is hard
- Luis Rademacher and Navin Goyal. Learning convex bodies is hard. In Proc. COLT'09, pages 303-308, 2009.
- (2009) Proc. COLT'09 , pp. 303-308
- Rademacher, L.¹ Goyal, N.²

10
- 0007696417
- Less is more: Active learning with support vector machines
- Greg Schohn and David Cohn. Less is more: Active learning with support vector machines. In Proc. ICML'00, 2000.
- (2000) Proc. ICML'00
- Schohn, G.¹ Cohn, D.²

11
- 0030414264
- The hit-and-run sampler: A globally reaching Markov chain sampler for generating arbitrary multivariate distributions
- Robert L. Smith. The hit-and-run sampler: a globally reaching Markov chain sampler for generating arbitrary multivariate distributions. In Proc. WSC'96, pages 260-264, 1996.
- (1996) Proc. WSC'96 , pp. 260-264
- Smith, R.L.¹

12
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- Undermining an anomaly-based intrusion detection system using common exploits
- Kymie M. C. Tan, Kevin S. Killourhy, and Roy A. Maxion. Undermining an anomaly-based intrusion detection system using common exploits. In Proc. RAID'02, pages 54-73, 2002.
- (2002) Proc. RAID'02 , pp. 54-73
- Tan, K.M.C.¹ Killourhy, K.S.² Maxion, R.A.³

13
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- Mimicry attacks on hostbased intrusion detection systems
- David Wagner and Paolo Soto. Mimicry attacks on hostbased intrusion detection systems. In Proc. CCS'02, pages 255-264, 2002.
- (2002) Proc. CCS'02 , pp. 255-264
- Wagner, D.¹ Soto, P.²

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.